Parser Lab

Quality DB

Ошибки качества

Поля, которые quality evaluator пометил проблемными в parser runs ниже выбранного порога.

Сбросить

Показано 312 из 504 ошибок; score ниже 90%

пропущено важное поле

city

68%

City is incorrectly parsed.

Файл
tg_660_Alexander_Tarasenko_Tech_Lead.pdf
Кандидат
Alexander Tarasenko
Ожидали
Tbilisi
Получили
Saint Petersburg
Модель
quality-comparator-default-a
Score
плохо
пропущено важное поле

country

68%

Country is incorrectly parsed.

Файл
tg_660_Alexander_Tarasenko_Tech_Lead.pdf
Кандидат
Alexander Tarasenko
Ожидали
UAE
Получили
Russia
Модель
quality-comparator-default-a
Score
плохо
пропущено важное поле

current_company

68%

Current company is missing.

Файл
tg_660_Alexander_Tarasenko_Tech_Lead.pdf
Кандидат
Alexander Tarasenko
Ожидали
Cypher Capital
Получили
Модель
quality-comparator-default-a
Score
плохо
пропущено важное поле

about

68%

About section is missing.

Файл
tg_660_Alexander_Tarasenko_Tech_Lead.pdf
Кандидат
Alexander Tarasenko
Ожидали
Tech Lead with over 10 years of experience building high-performance backend and integration platforms in C#/.NET. Launched MVPs from scratch and delivered scalable distributed systems to stable production, including real-time pipelines handling 500+ RPS with p99.95 < 400 ms and reducing data-loss incidents by 90%. Led cross-functional teams, established CI/CD and observability practices, and improved reliability and engineering standards. Strong in system architecture, event-driven design, and building production-ready solutions under real user load.
Получили
Модель
quality-comparator-default-a
Score
плохо
пропущено важное поле

work_experience

68%

Work experience is missing.

Файл
tg_660_Alexander_Tarasenko_Tech_Lead.pdf
Кандидат
Alexander Tarasenko
Ожидали
[{"city":"Dubai","company_name":"Cypher Capital","description":"Web3 investment firm focused on blockchain, digital assets, and early-stage crypto products.","end_date":"Oct 2025","position":"Tech Lead","start_date":"Nov 2024","total_months":12},{"city":"Nevada","company_name":"Sweed","description":"Retail software platform for cannabis dispensaries, covering POS, eCommerce, inventory, and payments.","end_date":"Nov 2024","position":"Tech Lead","start_date":"Jul 2023","total_months":16},{"city":"Saint Petersburg","company_name":"Ozon","description":"Russian e-commerce marketplace and digital platform, similar to Amazon.","end_date":"Jun 2023","position":"Senior Software Engineer","start_date":"Sep 2021","total_months":22},{"city":"Vladivostok","company_name":"Siemens Finance","description":"Russian equipment finance and leasing company, similar to BNP Paribas Leasing Solutions.","end_date":"Aug 2021","position":"Software Engineer","start_date":"Apr 2019","total_months":28},{"city":"Vladivostok","company_name":"Izumrud","description":"Russian manufacturer of marine electronics and other complex electronic systems, similar to Kongsberg Maritime.","end_date":"Mar 2019","position":"Software Engineer","start_date":"Dec 2015","total_months":40}]
Получили
Модель
quality-comparator-default-a
Score
плохо
пропущено важное поле

languages

68%

Languages section is missing.

Файл
tg_660_Alexander_Tarasenko_Tech_Lead.pdf
Кандидат
Alexander Tarasenko
Ожидали
[{"lang":"Russian","level":"Native"},{"lang":"English","level":"C1"}]
Получили
Модель
quality-comparator-default-a
Score
плохо
пропущено важное поле

city

89%

City is incorrectly parsed.

Файл
tg_660_Alexander_Tarasenko_Tech_Lead.pdf
Кандидат
Alexander Tarasenko
Ожидали
Tbilisi
Получили
Saint Petersburg
Модель
quality-comparator-default-a
Score
приемлемо
пропущено важное поле

country

89%

Country is incorrectly parsed.

Файл
tg_660_Alexander_Tarasenko_Tech_Lead.pdf
Кандидат
Alexander Tarasenko
Ожидали
UAE
Получили
Russia
Модель
quality-comparator-default-a
Score
приемлемо
пропущено важное поле

city

84%

City is explicitly mentioned in the reference but is missing in parser output.

Файл
tg_660_Alexander_Tarasenko_Tech_Lead.pdf
Кандидат
Alexander Tarasenko
Ожидали
Tbilisi
Получили
Saint Petersburg
Модель
quality-comparator-default-a
Score
приемлемо
пропущено важное поле

country

84%

Country is explicitly mentioned in the reference but is missing in parser output.

Файл
tg_660_Alexander_Tarasenko_Tech_Lead.pdf
Кандидат
Alexander Tarasenko
Ожидали
UAE
Получили
Russia
Модель
quality-comparator-default-a
Score
приемлемо
пропущено важное поле

current_company

84%

Current company is explicitly mentioned in the reference but is missing in parser output.

Файл
tg_660_Alexander_Tarasenko_Tech_Lead.pdf
Кандидат
Alexander Tarasenko
Ожидали
Cypher Capital
Получили
Sweed
Модель
quality-comparator-default-a
Score
приемлемо
пропущено важное поле

city

89%

City is incorrectly parsed.

Файл
tg_666_Aniskov_Head_of_Mobile_Engineering.pdf
Кандидат
Roman Aniskov
Ожидали
Belgrade
Получили
Moscow
Модель
quality-comparator-default-a
Score
приемлемо
пропущено важное поле

country

89%

Country is incorrectly parsed.

Файл
tg_666_Aniskov_Head_of_Mobile_Engineering.pdf
Кандидат
Roman Aniskov
Ожидали
Serbia
Получили
Russia
Модель
quality-comparator-default-a
Score
приемлемо
пропущено важное поле

city

89%

City is incorrectly parsed.

Файл
tg_666_Aniskov_Head_of_Mobile_Engineering.pdf
Кандидат
Roman Aniskov
Ожидали
Belgrade
Получили
Moscow
Модель
quality-comparator-default-a
Score
приемлемо
пропущено важное поле

country

89%

Country is incorrectly parsed.

Файл
tg_666_Aniskov_Head_of_Mobile_Engineering.pdf
Кандидат
Roman Aniskov
Ожидали
Serbia
Получили
Russia
Модель
quality-comparator-default-a
Score
приемлемо
пропущено важное поле

city

89%

City is incorrectly parsed.

Файл
tg_667_Irina_Zasenko_Data_Analyst.pdf
Кандидат
Irina Zasenko
Ожидали
Dusseldorf
Получили
Moscow
Модель
quality-comparator-default-a
Score
приемлемо
пропущено важное поле

country

89%

Country is incorrectly parsed.

Файл
tg_667_Irina_Zasenko_Data_Analyst.pdf
Кандидат
Irina Zasenko
Ожидали
Germany
Получили
Russia
Модель
quality-comparator-default-a
Score
приемлемо
пропущено важное поле

current_company

79%

Отсутствует текущее место работы.

Файл
tg_667_Irina_Zasenko_Data_Analyst.pdf
Кандидат
Irina Zasenko
Ожидали
Sauerland-Tourismus e.V.
Получили
Модель
quality-comparator-default-a
Score
приемлемо
пропущено важное поле

city

79%

Город не соответствует ожидаемому.

Файл
tg_667_Irina_Zasenko_Data_Analyst.pdf
Кандидат
Irina Zasenko
Ожидали
Dusseldorf
Получили
Moscow
Модель
quality-comparator-default-a
Score
приемлемо
пропущено важное поле

country

79%

Страна не соответствует ожидаемой.

Файл
tg_667_Irina_Zasenko_Data_Analyst.pdf
Кандидат
Irina Zasenko
Ожидали
Germany
Получили
Russia
Модель
quality-comparator-default-a
Score
приемлемо
пропущено важное поле

work_experience

79%

Отсутствует информация о рабочем опыте.

Файл
tg_667_Irina_Zasenko_Data_Analyst.pdf
Кандидат
Irina Zasenko
Ожидали
Список с опытом работы
Получили
Модель
quality-comparator-default-a
Score
приемлемо
пропущено важное поле

city

89%

City is incorrectly parsed.

Файл
tg_667_Irina_Zasenko_Data_Analyst.pdf
Кандидат
Irina Zasenko
Ожидали
Dusseldorf
Получили
Moscow
Модель
quality-comparator-default-a
Score
приемлемо
пропущено важное поле

country

89%

Country is incorrectly parsed.

Файл
tg_667_Irina_Zasenko_Data_Analyst.pdf
Кандидат
Irina Zasenko
Ожидали
Germany
Получили
Russia
Модель
quality-comparator-default-a
Score
приемлемо
пропущено важное поле

current_company

89%

Текущая компания указана с лишней информацией о городе и стране.

Файл
tg_668_Михаил_Ледин_Chief_Technology_Officer.pdf
Кандидат
Михаил Ледин
Ожидали
Алгоритмика
Получили
Алгоритмика, Москва, Россия
Модель
quality-comparator-default-a
Score
приемлемо
ошибка формата

education[0].organization

89%

Формат названия учебного заведения нарушен из-за добавления лишней информации.

Файл
tg_668_Михаил_Ледин_Chief_Technology_Officer.pdf
Кандидат
Михаил Ледин
Ожидали
МГТУ им. Н. Э. Баумана
Получили
МГТУ им. Н. Э. Баумана · Москва ·
Модель
quality-comparator-default-a
Score
приемлемо
пропущено важное поле

current_company

89%

Текущая компания указана с избыточной информацией.

Файл
tg_668_Михаил_Ледин_Chief_Technology_Officer.pdf
Кандидат
Михаил Ледин
Ожидали
Алгоритмика
Получили
Алгоритмика, Москва, Россия
Модель
quality-comparator-default-a
Score
приемлемо
ошибка формата

education

89%

Некоторые записи в образовании содержат избыточные или неверные данные.

Файл
tg_668_Михаил_Ледин_Chief_Technology_Officer.pdf
Кандидат
Михаил Ледин
Ожидали
Список объектов education с корректными данными.
Получили
Некоторые записи имеют некорректные значения.
Модель
quality-comparator-default-a
Score
приемлемо
пропущено важное поле

city

89%

City is incorrectly parsed.

Файл
tg_669_Ilia_Lopukhov_Creative_Director.pdf
Кандидат
Ilia Lopukhov
Ожидали
Bali
Получили
Moscow
Модель
quality-comparator-default-a
Score
приемлемо
пропущено важное поле

current_company

89%

Current company is incorrectly parsed.

Файл
tg_669_Ilia_Lopukhov_Creative_Director.pdf
Кандидат
Ilia Lopukhov
Ожидали
Realweb Digital Agency
Получили
DiceWillDecide
Модель
quality-comparator-default-a
Score
приемлемо
пропущено важное поле

city

89%

City is incorrectly parsed.

Файл
tg_669_Ilia_Lopukhov_Creative_Director.pdf
Кандидат
Ilia Lopukhov
Ожидали
Bali
Получили
Moscow
Модель
quality-comparator-default-a
Score
приемлемо
неверное значение

country

89%

Country is incorrectly parsed.

Файл
tg_669_Ilia_Lopukhov_Creative_Director.pdf
Кандидат
Ilia Lopukhov
Ожидали
Indonesia
Получили
Russia
Модель
quality-comparator-default-a
Score
приемлемо
пропущено важное поле

city

89%

City is explicitly mentioned in the reference but is missing in parser output.

Файл
tg_669_Ilia_Lopukhov_Creative_Director.pdf
Кандидат
Ilia Lopukhov
Ожидали
Bali
Получили
Moscow
Модель
quality-comparator-default-a
Score
приемлемо
пропущено важное поле

current_company

89%

Current company is explicitly mentioned in the reference but is missing in parser output.

Файл
tg_669_Ilia_Lopukhov_Creative_Director.pdf
Кандидат
Ilia Lopukhov
Ожидали
Realweb Digital Agency
Получили
DiceWillDecide
Модель
quality-comparator-default-a
Score
приемлемо
пропущено важное поле

city

89%

City is incorrectly parsed.

Файл
tg_670_Tatiana_Sedova_Technology_Business_Partner.pdf
Кандидат
Tatiana Sedova
Ожидали
Dubai
Получили
Moscow
Модель
quality-comparator-default-a
Score
приемлемо
пропущено важное поле

country

89%

Country is incorrectly parsed.

Файл
tg_670_Tatiana_Sedova_Technology_Business_Partner.pdf
Кандидат
Tatiana Sedova
Ожидали
UAE
Получили
Russia
Модель
quality-comparator-default-a
Score
приемлемо
пропущено важное поле

city

89%

City is incorrectly parsed.

Файл
tg_670_Tatiana_Sedova_Technology_Business_Partner.pdf
Кандидат
Tatiana Sedova
Ожидали
Dubai
Получили
Moscow
Модель
quality-comparator-default-a
Score
приемлемо
пропущено важное поле

country

89%

Country is incorrectly parsed.

Файл
tg_670_Tatiana_Sedova_Technology_Business_Partner.pdf
Кандидат
Tatiana Sedova
Ожидали
UAE
Получили
Russia
Модель
quality-comparator-default-a
Score
приемлемо
пропущено важное поле

city

89%

Город указан неверно, в резюме указано 'Dubai', а в парсере 'Moscow'.

Файл
tg_670_Tatiana_Sedova_Technology_Business_Partner.pdf
Кандидат
Tatiana Sedova
Ожидали
Dubai
Получили
Moscow
Модель
quality-comparator-default-a
Score
приемлемо
пропущено важное поле

country

89%

Страна указана неверно, в резюме указано 'UAE', а в парсере 'Russia'.

Файл
tg_670_Tatiana_Sedova_Technology_Business_Partner.pdf
Кандидат
Tatiana Sedova
Ожидали
UAE
Получили
Russia
Модель
quality-comparator-default-a
Score
приемлемо
пропущено важное поле

current_company

76%

Field is explicitly present in reference but missing in parser output.

Файл
tg_676_Iana_Nazarova_Operations_Manager.pdf
Кандидат
Iana Nazarova
Ожидали
Indeed LLC (Axidian)
Получили
Модель
quality-comparator-default-a
Score
приемлемо
пропущено важное поле

about

76%

Field is explicitly present in reference but missing in parser output.

Файл
tg_676_Iana_Nazarova_Operations_Manager.pdf
Кандидат
Iana Nazarova
Ожидали
Operations Manager with 7 years of experience improving delivery, planning, and operating effectiveness across product and engineering teams. Built company-wide OKR, financial planning, and performance review rhythms across 6 departments and 700-800 employees, reduced cycle time from 77 to 50 days, and established stable on-time releases after repeated delays. Strong in clarifying ownership, aligning teams, and making execution more predictable.
Получили
Модель
quality-comparator-default-a
Score
приемлемо
пропущено важное поле

city

76%

Field value is incorrect; parser output does not match reference.

Файл
tg_676_Iana_Nazarova_Operations_Manager.pdf
Кандидат
Iana Nazarova
Ожидали
Bilbao
Получили
yana-nazarova
Модель
quality-comparator-default-a
Score
приемлемо
пропущено важное поле

work_experience

76%

Field is explicitly present in reference but missing in parser output.

Файл
tg_676_Iana_Nazarova_Operations_Manager.pdf
Кандидат
Iana Nazarova
Ожидали
Array of work experience entries
Получили
Модель
quality-comparator-default-a
Score
приемлемо
неверное значение

education[0].degree

76%

Degree field is missing in parser output.

Файл
tg_676_Iana_Nazarova_Operations_Manager.pdf
Кандидат
Iana Nazarova
Ожидали
Bachelor’s Degree
Получили
Модель
quality-comparator-default-a
Score
приемлемо
неверное значение

education[0].specialization

76%

Specialization field contains additional, unnecessary information.

Файл
tg_676_Iana_Nazarova_Operations_Manager.pdf
Кандидат
Iana Nazarova
Ожидали
Applied Informatics
Получили
Bachelor’s Degree, Applied Informatics, Russia
Модель
quality-comparator-default-a
Score
приемлемо
пропущено важное поле

about

84%

Field is missing in parser output.

Файл
tg_678_Nadezhda_Martemyanova_Head_of_Internal_Communications.pdf
Кандидат
Nadezhda Martemyanova
Ожидали
Head of Internal Communications with 12+ years of experience in internal and corporate communications within IT and B2B environments. Built and scaled internal communications and event functions from scratch, owning full P&L responsibility with budgets exceeding 100M RUB and driving end-to-end delivery of complex, cross-functional programs. Delivered over 300 events across 7 countries, including large-scale initiatives with budgets above 120M RUB under high-pressure timelines and operational constraints. Streamlined and automated 7+ core business processes, increasing operational efficiency by more than 40%.
Получили
Модель
quality-comparator-default-a
Score
приемлемо
пропущено важное поле

work_experience

84%

Field is missing in parser output.

Файл
tg_678_Nadezhda_Martemyanova_Head_of_Internal_Communications.pdf
Кандидат
Nadezhda Martemyanova
Ожидали
[{"city": "Moscow", "company_name": "F-PRO", "description": "Event and marketing agency delivering large-scale public and cultural projects, including city-wide festivals and government-backed initiatives, comparable to Eventim Live.", "end_date": "Dec 2025", "position": "Project Manager", "start_date": "Apr 2025", "total_months": 8}, {"city": "Moscow", "company_name": "GlowByte Consulting", "description": "IT consulting company specializing in data analytics, BI, and digital transformation for enterprise clients across multiple industries, comparable to Accenture.", "end_date": "Nov 2024", "position": "Head of Internal Communications and Events", "start_date": "Mar 2020", "total_months": 56}, {"city": null, "company_name": null, "description": null, "end_date": "Mar 2020", "position": "Marketing and Communications Manager", "start_date": "Jan 2018", "total_months": 26}, {"city": "Moscow", "company_name": "Dell EMC", "description": "Global enterprise technology company providing cloud infrastructure, data storage, and IT solutions for large corporate and public-sector clients, comparable to IBM.", "end_date": "Mar 2017", "position": "Marketing Specialist", "start_date": "Feb 2014", "total_months": 37}, {"city": "Moscow", "company_name": "TSUM (Central Department Store)", "description": "Major luxury retail department store in Eastern Europe, operating a premium fashion and lifestyle retail ecosystem.", "end_date": "Apr 2026", "position": "Head of Events", "start_date": "Jan 2026", "total_months": 3}]
Получили
Модель
quality-comparator-default-a
Score
приемлемо
пропущено важное поле

languages

84%

Field is missing in parser output.

Файл
tg_678_Nadezhda_Martemyanova_Head_of_Internal_Communications.pdf
Кандидат
Nadezhda Martemyanova
Ожидали
[{"lang": "Russian", "level": "Native"}, {"lang": "English", "level": "C1"}, {"lang": "Spanish", "level": "B1"}]
Получили
Модель
quality-comparator-default-a
Score
приемлемо
пропущено важное поле

city

84%

City is explicitly mentioned in the reference but is incorrect in parser output.

Файл
tg_679_Aleksandra_Kolesnikova_Head_of_Product.pdf
Кандидат
Aleksandra Kolesnikova
Ожидали
Remote
Получили
Yekaterinburg
Модель
quality-comparator-default-a
Score
приемлемо
пропущено важное поле

country

84%

Country is explicitly mentioned in the reference but is incorrect in parser output.

Файл
tg_679_Aleksandra_Kolesnikova_Head_of_Product.pdf
Кандидат
Aleksandra Kolesnikova
Ожидали
USA
Получили
Russia
Модель
quality-comparator-default-a
Score
приемлемо
пропущено важное поле

total_experience_months

84%

Total experience months calculated incorrectly in parser output.

Файл
tg_679_Aleksandra_Kolesnikova_Head_of_Product.pdf
Кандидат
Aleksandra Kolesnikova
Ожидали
84
Получили
120
Модель
quality-comparator-default-a
Score
приемлемо
пропущено важное поле

city

74%

City is incorrectly parsed.

Файл
tg_682_Aleksey_Titarenko_Strategic_Customer_Success_Manager.pdf
Кандидат
Aleksey Titarenko
Ожидали
Västerås
Получили
Moscow
Модель
quality-comparator-default-a
Score
приемлемо
пропущено важное поле

country

74%

Country is incorrectly parsed.

Файл
tg_682_Aleksey_Titarenko_Strategic_Customer_Success_Manager.pdf
Кандидат
Aleksey Titarenko
Ожидали
Sweden
Получили
Russia
Модель
quality-comparator-default-a
Score
приемлемо
пропущено важное поле

current_company

74%

Current company is missing.

Файл
tg_682_Aleksey_Titarenko_Strategic_Customer_Success_Manager.pdf
Кандидат
Aleksey Titarenko
Ожидали
Ailet
Получили
Модель
quality-comparator-default-a
Score
приемлемо
пропущено важное поле

about

74%

About section is missing.

Файл
tg_682_Aleksey_Titarenko_Strategic_Customer_Success_Manager.pdf
Кандидат
Aleksey Titarenko
Ожидали
Strategic Customer Success Manager with over 9 years of experience managing enterprise accounts and driving retention, expansion, and revenue growth across SaaS, e-commerce, mobility, and market intelligence. Delivered 96% retention across a RUB 90.5M ARR portfolio, scaled a key account from RUB 5.8M to RUB 12.3M ARR, and preserved RUB 23M in annual revenue during competitive tenders. Trusted to stabilize at-risk accounts, lead complex client situations, and convert customer needs into measurable commercial growth.
Получили
Модель
quality-comparator-default-a
Score
приемлемо
пропущено важное поле

work_experience

74%

Work experience is missing.

Файл
tg_682_Aleksey_Titarenko_Strategic_Customer_Success_Manager.pdf
Кандидат
Aleksey Titarenko
Ожидали
Array of work experience objects
Получили
Модель
quality-comparator-default-a
Score
приемлемо
пропущено важное поле

city

89%

City is incorrectly parsed.

Файл
tg_682_Aleksey_Titarenko_Strategic_Customer_Success_Manager.pdf
Кандидат
Aleksey Titarenko
Ожидали
Västerås
Получили
Moscow
Модель
quality-comparator-default-a
Score
приемлемо
пропущено важное поле

country

89%

Country is incorrectly parsed.

Файл
tg_682_Aleksey_Titarenko_Strategic_Customer_Success_Manager.pdf
Кандидат
Aleksey Titarenko
Ожидали
Sweden
Получили
Russia
Модель
quality-comparator-default-a
Score
приемлемо
пропущено важное поле

city

89%

Город указан неверно, в резюме указано 'Västerås', а в парсере 'Moscow'.

Файл
tg_682_Aleksey_Titarenko_Strategic_Customer_Success_Manager.pdf
Кандидат
Aleksey Titarenko
Ожидали
Västerås
Получили
Moscow
Модель
quality-comparator-default-a
Score
приемлемо
пропущено важное поле

country

89%

Страна указана неверно, в резюме указана 'Sweden', а в парсере 'Russia'.

Файл
tg_682_Aleksey_Titarenko_Strategic_Customer_Success_Manager.pdf
Кандидат
Aleksey Titarenko
Ожидали
Sweden
Получили
Russia
Модель
quality-comparator-default-a
Score
приемлемо
пропущено важное поле

city

84%

City is incorrectly parsed.

Файл
tg_683_Marat_Gudkov_Product_Manager.pdf
Кандидат
Marat Gudkov
Ожидали
Chiang Mai
Получили
Moscow
Модель
quality-comparator-default-a
Score
приемлемо
пропущено важное поле

country

84%

Country is incorrectly parsed.

Файл
tg_683_Marat_Gudkov_Product_Manager.pdf
Кандидат
Marat Gudkov
Ожидали
Thailand
Получили
Russia
Модель
quality-comparator-default-a
Score
приемлемо
пропущено важное поле

current_company

84%

Current company is missing.

Файл
tg_683_Marat_Gudkov_Product_Manager.pdf
Кандидат
Marat Gudkov
Ожидали
Manatal
Получили
Yield Guarden
Модель
quality-comparator-default-a
Score
приемлемо
пропущено важное поле

city

84%

City is incorrectly parsed.

Файл
tg_683_Marat_Gudkov_Product_Manager.pdf
Кандидат
Marat Gudkov
Ожидали
Chiang Mai
Получили
Moscow
Модель
quality-comparator-default-a
Score
приемлемо
пропущено важное поле

country

84%

Country is incorrectly parsed.

Файл
tg_683_Marat_Gudkov_Product_Manager.pdf
Кандидат
Marat Gudkov
Ожидали
Thailand
Получили
Russia
Модель
quality-comparator-default-a
Score
приемлемо
пропущено важное поле

current_company

84%

Current company is incorrectly parsed.

Файл
tg_683_Marat_Gudkov_Product_Manager.pdf
Кандидат
Marat Gudkov
Ожидали
Manatal
Получили
Yield Guarden
Модель
quality-comparator-default-a
Score
приемлемо
пропущено важное поле

city

89%

City is incorrectly parsed.

Файл
tg_683_Marat_Gudkov_Product_Manager.pdf
Кандидат
Marat Gudkov
Ожидали
Chiang Mai
Получили
Moscow
Модель
quality-comparator-default-a
Score
приемлемо
пропущено важное поле

country

89%

Country is incorrectly parsed.

Файл
tg_683_Marat_Gudkov_Product_Manager.pdf
Кандидат
Marat Gudkov
Ожидали
Thailand
Получили
Russia
Модель
quality-comparator-default-a
Score
приемлемо
пропущено важное поле

city

74%

City is incorrectly parsed.

Файл
tg_685_Mariia_Koroleva_Senior_IT_Business_Analyst.pdf
Кандидат
Mariia Koroleva
Ожидали
Baku
Получили
Moscow
Модель
quality-comparator-default-a
Score
приемлемо
пропущено важное поле

country

74%

Country is incorrectly parsed.

Файл
tg_685_Mariia_Koroleva_Senior_IT_Business_Analyst.pdf
Кандидат
Mariia Koroleva
Ожидали
Azerbaijan
Получили
Russia
Модель
quality-comparator-default-a
Score
приемлемо
пропущено важное поле

current_company

74%

Current company is missing.

Файл
tg_685_Mariia_Koroleva_Senior_IT_Business_Analyst.pdf
Кандидат
Mariia Koroleva
Ожидали
Guavalab
Получили
Модель
quality-comparator-default-a
Score
приемлемо
пропущено важное поле

work_experience

74%

Work experience is missing.

Файл
tg_685_Mariia_Koroleva_Senior_IT_Business_Analyst.pdf
Кандидат
Mariia Koroleva
Ожидали
Work experience is missing.
Получили
Модель
quality-comparator-default-a
Score
приемлемо
пропущено важное поле

languages

74%

Languages are missing.

Файл
tg_685_Mariia_Koroleva_Senior_IT_Business_Analyst.pdf
Кандидат
Mariia Koroleva
Ожидали
[{"lang": "Russian", "level": "Native"}, {"lang": "English", "level": "B2"}, {"lang": "German", "level": "A1"}]
Получили
Модель
quality-comparator-default-a
Score
приемлемо
пропущено важное поле

city

84%

City is incorrectly parsed.

Файл
tg_685_Mariia_Koroleva_Senior_IT_Business_Analyst.pdf
Кандидат
Mariia Koroleva
Ожидали
Baku
Получили
Moscow
Модель
quality-comparator-default-a
Score
приемлемо
пропущено важное поле

country

84%

Country is incorrectly parsed.

Файл
tg_685_Mariia_Koroleva_Senior_IT_Business_Analyst.pdf
Кандидат
Mariia Koroleva
Ожидали
Azerbaijan
Получили
Russia
Модель
quality-comparator-default-a
Score
приемлемо
пропущено важное поле

education

84%

Education entries are incorrectly parsed and contain additional irrelevant information.

Файл
tg_685_Mariia_Koroleva_Senior_IT_Business_Analyst.pdf
Кандидат
Mariia Koroleva
Ожидали
[{"degree":"Bachelor’s Degree","end_year":2007,"organization":"Dubna State University","specialization":"Software for Computer Facilities and Automated Systems"},{"degree":"Bachelor’s Degree","end_year":2007,"organization":"Dubna State University","specialization":"Finance and Credit"}]
Получили
[{"degree":"Bachelor’s Degree","end_year":2007,"organization":"Dubna State University","specialization":"Bachelor’s Degree, Software for Computer Facilities and Automated Systems, Russia"},{"degree":null,"end_year":2025,"organization":"Ivan Zamesin","specialization":"How to Build a Product"},{"degree":null,"end_year":2021,"organization":"SmartArchitects","specialization":"TOGAF: Practice of Use"},{"degree":null,"end_year":2017,"organization":"American Express","specialization":"Beginning Chargeback and Dispute Training"},{"degree":null,"end_year":2015,"organization":"MasterCard Academy","specialization":"Clearing Workshop"},{"degree":"Certificate","end_year":null,"organization":"Certificates","specialization":"●​"},{"degree":null,"end_year":2007,"organization":"Dubna State University","specialization":"Bachelor’s Degree, Software for Computer Facilities and Automated Systems, Russia"},{"degree":null,"end_year":2007,"organization":"Dubna State University","specialization":"Bachelor’s Degree, Finance and Credit, Russia"}]
Модель
quality-comparator-default-a
Score
приемлемо
пропущено важное поле

city

89%

Город не соответствует ожидаемому значению из резюме.

Файл
tg_685_Mariia_Koroleva_Senior_IT_Business_Analyst.pdf
Кандидат
Mariia Koroleva
Ожидали
Baku
Получили
Moscow
Модель
quality-comparator-default-a
Score
приемлемо
пропущено важное поле

country

89%

Страна не соответствует ожидаемому значению из резюме.

Файл
tg_685_Mariia_Koroleva_Senior_IT_Business_Analyst.pdf
Кандидат
Mariia Koroleva
Ожидали
Azerbaijan
Получили
Russia
Модель
quality-comparator-default-a
Score
приемлемо
пропущено важное поле

current_company

68%

current_company is missing in parser output

Файл
tg_688_Roman_Okonenko_Senior_Legal_Counsel.docx.pdf
Кандидат
Roman Okonenko
Ожидали
GetsMine
Получили
Модель
quality-comparator-default-a
Score
плохо
пропущено важное поле

about

68%

about is missing in parser output

Файл
tg_688_Roman_Okonenko_Senior_Legal_Counsel.docx.pdf
Кандидат
Roman Okonenko
Ожидали
Senior Legal Counsel with 15 years of experience across fintech, crypto, payments, SaaS, and digital products. Built legal frameworks from scratch for international businesses, enabling US market entry and first contracts worth $1M+. Drafted 50+ commercial agreements across SaaS and payment processing, reducing contract-related claims by 40%. Combines in-house and judicial experience, identifying risk early and translating it into clear contract structures and scalable legal processes.
Получили
Модель
quality-comparator-default-a
Score
плохо
пропущено важное поле

city

68%

city is incorrect in parser output

Файл
tg_688_Roman_Okonenko_Senior_Legal_Counsel.docx.pdf
Кандидат
Roman Okonenko
Ожидали
Tbilisi
Получили
Moscow
Модель
quality-comparator-default-a
Score
плохо
пропущено важное поле

country

68%

country is incorrect in parser output

Файл
tg_688_Roman_Okonenko_Senior_Legal_Counsel.docx.pdf
Кандидат
Roman Okonenko
Ожидали
Georgia
Получили
Russia
Модель
quality-comparator-default-a
Score
плохо
пропущено важное поле

work_experience

68%

work_experience is missing in parser output

Файл
tg_688_Roman_Okonenko_Senior_Legal_Counsel.docx.pdf
Кандидат
Roman Okonenko
Ожидали
work experience is missing in parser output
Получили
Модель
quality-comparator-default-a
Score
плохо
пропущено важное поле

languages

68%

languages are missing in parser output

Файл
tg_688_Roman_Okonenko_Senior_Legal_Counsel.docx.pdf
Кандидат
Roman Okonenko
Ожидали
[{"lang": "Russian", "level": "Native"}, {"lang": "English", "level": "C1"}]
Получили
Модель
quality-comparator-default-a
Score
плохо
пропущено важное поле

city

89%

City is incorrectly parsed.

Файл
tg_688_Roman_Okonenko_Senior_Legal_Counsel.docx.pdf
Кандидат
Roman Okonenko
Ожидали
Tbilisi
Получили
Moscow
Модель
quality-comparator-default-a
Score
приемлемо
пропущено важное поле

country

89%

Country is incorrectly parsed.

Файл
tg_688_Roman_Okonenko_Senior_Legal_Counsel.docx.pdf
Кандидат
Roman Okonenko
Ожидали
Georgia
Получили
Russia
Модель
quality-comparator-default-a
Score
приемлемо
пропущено важное поле

city

89%

City is incorrectly parsed.

Файл
tg_688_Roman_Okonenko_Senior_Legal_Counsel.docx.pdf
Кандидат
Roman Okonenko
Ожидали
Tbilisi
Получили
Moscow
Модель
quality-comparator-default-a
Score
приемлемо
пропущено важное поле

country

89%

Country is incorrectly parsed.

Файл
tg_688_Roman_Okonenko_Senior_Legal_Counsel.docx.pdf
Кандидат
Roman Okonenko
Ожидали
Georgia
Получили
Russia
Модель
quality-comparator-default-a
Score
приемлемо
пропущено важное поле

work_experience

89%

Work experience is missing in parser output.

Файл
tg_689_Veronika_Zhemchuzhnikova_Senior_Analyst.pdf
Кандидат
Veronika Zhemchuzhnikova
Ожидали
Array of work experience entries
Получили
[]
Модель
quality-comparator-default-a
Score
приемлемо
пропущено важное поле

languages

89%

Languages are missing in parser output.

Файл
tg_689_Veronika_Zhemchuzhnikova_Senior_Analyst.pdf
Кандидат
Veronika Zhemchuzhnikova
Ожидали
Array of languages with levels
Получили
[]
Модель
quality-comparator-default-a
Score
приемлемо
неверное значение

education[0].specialization

89%

Extra information added to specialization.

Файл
tg_689_Veronika_Zhemchuzhnikova_Senior_Analyst.pdf
Кандидат
Veronika Zhemchuzhnikova
Ожидали
Bachelor’s Degree in Economics
Получили
Bachelor’s Degree in Economics, Russia
Модель
quality-comparator-default-a
Score
приемлемо
неверное значение

education[1].specialization

89%

Extra information added to specialization.

Файл
tg_689_Veronika_Zhemchuzhnikova_Senior_Analyst.pdf
Кандидат
Veronika Zhemchuzhnikova
Ожидали
Master’s Degree in State Audit (Higher School of State Audit)
Получили
Master’s Degree in State Audit (Higher School of State Audit), Russia
Модель
quality-comparator-default-a
Score
приемлемо
неверное значение

education[2].specialization

89%

Specialization format is incorrect; missing main title.

Файл
tg_689_Veronika_Zhemchuzhnikova_Senior_Analyst.pdf
Кандидат
Veronika Zhemchuzhnikova
Ожидали
MBA in Finance
Получили
in Finance, Russia
Модель
quality-comparator-default-a
Score
приемлемо
пропущено важное поле

current_company

74%

current_company is missing in parser output.

Файл
tg_690_Alisha_Meier_Senior_Manual_QA_Engineer.pdf
Кандидат
Alisha Meier
Ожидали
Voiso
Получили
Модель
quality-comparator-default-a
Score
приемлемо
пропущено важное поле

about

74%

about is missing in parser output.

Файл
tg_690_Alisha_Meier_Senior_Manual_QA_Engineer.pdf
Кандидат
Alisha Meier
Ожидали
Senior Manual QA Engineer with over 4.5 years of experience and unique expertise in complex CRM integrations...
Получили
Модель
quality-comparator-default-a
Score
приемлемо
пропущено важное поле

city

74%

city is incorrectly parsed as social media handle.

Файл
tg_690_Alisha_Meier_Senior_Manual_QA_Engineer.pdf
Кандидат
Alisha Meier
Ожидали
Da Nang
Получили
alisha-meier-qa
Модель
quality-comparator-default-a
Score
приемлемо
пропущено важное поле

work_experience

74%

work_experience is missing in parser output.

Файл
tg_690_Alisha_Meier_Senior_Manual_QA_Engineer.pdf
Кандидат
Alisha Meier
Ожидали
List of work experiences
Получили
Модель
quality-comparator-default-a
Score
приемлемо
пропущено важное поле

languages

74%

languages are missing in parser output.

Файл
tg_690_Alisha_Meier_Senior_Manual_QA_Engineer.pdf
Кандидат
Alisha Meier
Ожидали
[{"lang": "Russian", "level": "Native"}, {"lang": "English", "level": "B2"}]
Получили
Модель
quality-comparator-default-a
Score
приемлемо
пропущено важное поле

about

79%

Field is missing in parser output.

Файл
tg_690_Alisha_Meier_Senior_Manual_QA_Engineer.pdf
Кандидат
Alisha Meier
Ожидали
Senior Manual QA Engineer with over 4.5 years of experience and unique expertise in complex CRM integrations. Tested over 10 CRM systems from various vendors as the sole QA on the team, successfully delivered 32 epics with a 98% successful deployment rate, including large epics of 14-18 tasks, while closing critical security bugs within just 3 hours and identifying complex API issues that could have led to customer data loss. Uses AI tools to accelerate routine tasks, builds QA processes from scratch, and confidently takes on the most challenging emergency tasks.
Получили
Модель
quality-comparator-default-a
Score
приемлемо
пропущено важное поле

city

79%

Incorrect value for city.

Файл
tg_690_Alisha_Meier_Senior_Manual_QA_Engineer.pdf
Кандидат
Alisha Meier
Ожидали
Da Nang
Получили
alisha-meier-qa
Модель
quality-comparator-default-a
Score
приемлемо
пропущено важное поле

work_experience

79%

Field is missing in parser output.

Файл
tg_690_Alisha_Meier_Senior_Manual_QA_Engineer.pdf
Кандидат
Alisha Meier
Ожидали
Array of work experience entries
Получили
Модель
quality-comparator-default-a
Score
приемлемо
пропущено важное поле

languages

79%

Field is missing in parser output.

Файл
tg_690_Alisha_Meier_Senior_Manual_QA_Engineer.pdf
Кандидат
Alisha Meier
Ожидали
[{"lang": "Russian", "level": "Native"}, {"lang": "English", "level": "B2"}]
Получили
Модель
quality-comparator-default-a
Score
приемлемо
пропущено важное поле

current_company

74%

Field is explicitly present in reference but missing in parser output.

Файл
tg_694_Alexander_Sklyarenko_Senior_Data_Analyst.pdf
Кандидат
Alexander Sklyarenko
Ожидали
AK Bars Bank
Получили
Модель
quality-comparator-default-a
Score
приемлемо
пропущено важное поле

about

74%

Field is explicitly present in reference but missing in parser output.

Файл
tg_694_Alexander_Sklyarenko_Senior_Data_Analyst.pdf
Кандидат
Alexander Sklyarenko
Ожидали
Senior Data Analyst with over 4 years in fintech and banking, specializing in IFRS 9/IRB reserving and large-scale warehouse migrations from Teradata to Spark and Hadoop. Led a 4-junior team to migrate a financial portfolio in 3 months, delivering what the internal team had only 10% completed in six months, earned a 30% budget uplift, and corrected miscalculations that freed tens of millions of dollars in loan loss provisions. Mentors juniors, collaborates with business stakeholders, and fixes errors that protect companies from regulatory fines.
Получили
Модель
quality-comparator-default-a
Score
приемлемо
пропущено важное поле

total_experience_months

74%

Field is explicitly present in reference but missing in parser output.

Файл
tg_694_Alexander_Sklyarenko_Senior_Data_Analyst.pdf
Кандидат
Alexander Sklyarenko
Ожидали
34
Получили
0
Модель
quality-comparator-default-a
Score
приемлемо
пропущено важное поле

work_experience

74%

Field is explicitly present in reference but missing in parser output.

Файл
tg_694_Alexander_Sklyarenko_Senior_Data_Analyst.pdf
Кандидат
Alexander Sklyarenko
Ожидали
List of work experiences
Получили
Модель
quality-comparator-default-a
Score
приемлемо
пропущено важное поле

languages

74%

Field is explicitly present in reference but missing in parser output.

Файл
tg_694_Alexander_Sklyarenko_Senior_Data_Analyst.pdf
Кандидат
Alexander Sklyarenko
Ожидали
[{"lang": "Russian", "level": "Native"}, {"lang": "English", "level": "B2"}]
Получили
Модель
quality-comparator-default-a
Score
приемлемо
пропущено важное поле

city

89%

City is incorrectly parsed.

Файл
tg_696_Ekaterina_Novoselova_Chief_Data_and_Analytics_Officer.pdf
Кандидат
Ekaterina Novoselova
Ожидали
Almaty
Получили
Moscow
Модель
quality-comparator-default-a
Score
приемлемо
пропущено важное поле

country

89%

Country is incorrectly parsed.

Файл
tg_696_Ekaterina_Novoselova_Chief_Data_and_Analytics_Officer.pdf
Кандидат
Ekaterina Novoselova
Ожидали
Kazakhstan
Получили
Russia
Модель
quality-comparator-default-a
Score
приемлемо
пропущено важное поле

city

89%

Город указан неверно, в reference указано 'Almaty', а в parser 'Moscow'.

Файл
tg_696_Ekaterina_Novoselova_Chief_Data_and_Analytics_Officer.pdf
Кандидат
Ekaterina Novoselova
Ожидали
Almaty
Получили
Moscow
Модель
quality-comparator-default-a
Score
приемлемо
пропущено важное поле

country

89%

Страна указана неверно, в reference указано 'Kazakhstan', а в parser 'Russia'.

Файл
tg_696_Ekaterina_Novoselova_Chief_Data_and_Analytics_Officer.pdf
Кандидат
Ekaterina Novoselova
Ожидали
Kazakhstan
Получили
Russia
Модель
quality-comparator-default-a
Score
приемлемо
пропущено важное поле

city

89%

City is incorrectly parsed.

Файл
tg_660_Alexander_Tarasenko_Tech_Lead.pdf
Кандидат
Alexander Tarasenko
Ожидали
Tbilisi
Получили
Saint Petersburg
Модель
quality-comparator-default-a
Score
приемлемо
пропущено важное поле

country

89%

Country is incorrectly parsed.

Файл
tg_660_Alexander_Tarasenko_Tech_Lead.pdf
Кандидат
Alexander Tarasenko
Ожидали
UAE
Получили
Russia
Модель
quality-comparator-default-a
Score
приемлемо
пропущено важное поле

city

89%

City is explicitly mentioned in the reference but is missing in parser output.

Файл
tg_669_Ilia_Lopukhov_Creative_Director.pdf
Кандидат
Ilia Lopukhov
Ожидали
Bali
Получили
Moscow
Модель
quality-comparator-default-a
Score
приемлемо
пропущено важное поле

current_company

89%

Current company is explicitly mentioned in the reference but is incorrect in parser output.

Файл
tg_669_Ilia_Lopukhov_Creative_Director.pdf
Кандидат
Ilia Lopukhov
Ожидали
Realweb Digital Agency
Получили
DiceWillDecide
Модель
quality-comparator-default-a
Score
приемлемо
пропущено важное поле

city

89%

Город должен быть 'Dubai', как указано в reference.

Файл
tg_670_Tatiana_Sedova_Technology_Business_Partner.pdf
Кандидат
Tatiana Sedova
Ожидали
Dubai
Получили
Moscow
Модель
quality-comparator-default-a
Score
приемлемо
пропущено важное поле

country

89%

Страна должна быть 'UAE', как указано в reference.

Файл
tg_670_Tatiana_Sedova_Technology_Business_Partner.pdf
Кандидат
Tatiana Sedova
Ожидали
UAE
Получили
Russia
Модель
quality-comparator-default-a
Score
приемлемо
пропущено важное поле

city

79%

Город не совпадает с ожидаемым.

Файл
tg_683_Marat_Gudkov_Product_Manager.pdf
Кандидат
Marat Gudkov
Ожидали
Chiang Mai
Получили
Moscow
Модель
quality-comparator-default-a
Score
приемлемо
пропущено важное поле

country

79%

Страна не совпадает с ожидаемой.

Файл
tg_683_Marat_Gudkov_Product_Manager.pdf
Кандидат
Marat Gudkov
Ожидали
Thailand
Получили
Russia
Модель
quality-comparator-default-a
Score
приемлемо
пропущено важное поле

about

79%

Содержимое поля 'about' не соответствует ожидаемому.

Файл
tg_683_Marat_Gudkov_Product_Manager.pdf
Кандидат
Marat Gudkov
Ожидали
Product Manager with 6+ years of experience across gaming and B2B SaaS, with strong expertise in product analytics. Specializes in driving growth by identifying and scaling 'Aha!' and activation moments, consistently increasing retention by more than 2%. Increased trial-to-paid conversion by 50% and retained approximately $50K in MRR by reducing churn and applying user segmentation. Built an A/B testing platform capable of comparing 10+ variants simultaneously, accelerating experimentation and reducing testing costs by 5x.
Получили
Кандидат имеет более 6 лет опыта в продуктовом управлении и аналитике в сферах гейминга и B2B SaaS, с фокусом на аналитику, рост и удержание пользователей. Специализируется на выявлении ключевых моментов активации, оптимизации онбординга и снижении оттока, что позволило увеличить конверсию пробного периода в платный на 50% и сохранить $50K MRR. Разработал платформу A/B-тестирования, поддерживающую 10+ вариантов одновременно, и внедрил ML-модели для персонализации и прогнозирования. В последнее время работает над DeFi-автоматизацией на Solana, что указывает на расширение компетенций в финтех.
Модель
quality-comparator-default-a
Score
приемлемо
пропущено важное поле

current_company

79%

Текущая компания не совпадает с ожидаемой.

Файл
tg_683_Marat_Gudkov_Product_Manager.pdf
Кандидат
Marat Gudkov
Ожидали
Manatal
Получили
Yield Guarden
Модель
quality-comparator-default-a
Score
приемлемо
пропущено важное поле

city

89%

Город работы указан неверно.

Файл
tg_685_Mariia_Koroleva_Senior_IT_Business_Analyst.pdf
Кандидат
Mariia Koroleva
Ожидали
Baku
Получили
Moscow
Модель
quality-comparator-default-a
Score
приемлемо
пропущено важное поле

country

89%

Страна работы указана неверно.

Файл
tg_685_Mariia_Koroleva_Senior_IT_Business_Analyst.pdf
Кандидат
Mariia Koroleva
Ожидали
Azerbaijan
Получили
Russia
Модель
quality-comparator-default-a
Score
приемлемо
пропущено важное поле

city

89%

City is incorrectly parsed.

Файл
tg_688_Roman_Okonenko_Senior_Legal_Counsel.docx.pdf
Кандидат
Roman Okonenko
Ожидали
Tbilisi
Получили
Moscow
Модель
quality-comparator-default-a
Score
приемлемо
пропущено важное поле

country

89%

Country is incorrectly parsed.

Файл
tg_688_Roman_Okonenko_Senior_Legal_Counsel.docx.pdf
Кандидат
Roman Okonenko
Ожидали
Georgia
Получили
Russia
Модель
quality-comparator-default-a
Score
приемлемо
пропущено важное поле

city

89%

Город указан неверно, в резюме указан Алматы.

Файл
tg_696_Ekaterina_Novoselova_Chief_Data_and_Analytics_Officer.pdf
Кандидат
Ekaterina Novoselova
Ожидали
Almaty
Получили
Moscow
Модель
quality-comparator-default-a
Score
приемлемо
пропущено важное поле

country

89%

Страна указана неверно, в резюме указана Казахстан.

Файл
tg_696_Ekaterina_Novoselova_Chief_Data_and_Analytics_Officer.pdf
Кандидат
Ekaterina Novoselova
Ожидали
Kazakhstan
Получили
Russia
Модель
quality-comparator-default-a
Score
приемлемо
пропущено важное поле

city

89%

Поле city должно быть null, но указано 'Не указан'.

Файл
tg_659_Гузяев_Виталии__Senior_Software_Engineer_Golang_.pdf
Кандидат
Гузяев Виталий
Ожидали
null
Получили
Не указан
Модель
quality-comparator-default-a
Score
приемлемо
пропущено важное поле

current_company

89%

Текущая компания указана неверно.

Файл
tg_659_Гузяев_Виталии__Senior_Software_Engineer_Golang_.pdf
Кандидат
Гузяев Виталий
Ожидали
Quantori
Получили
Broadridge
Модель
quality-comparator-default-a
Score
приемлемо
пропущено важное поле

city

89%

City is incorrectly parsed.

Файл
tg_660_Alexander_Tarasenko_Tech_Lead.pdf
Кандидат
Alexander Tarasenko
Ожидали
Tbilisi
Получили
Saint Petersburg
Модель
quality-comparator-default-a
Score
приемлемо
пропущено важное поле

country

89%

Country is incorrectly parsed.

Файл
tg_660_Alexander_Tarasenko_Tech_Lead.pdf
Кандидат
Alexander Tarasenko
Ожидали
UAE
Получили
Russia
Модель
quality-comparator-default-a
Score
приемлемо
пропущено важное поле

city

63%

City is incorrectly parsed.

Файл
tg_660_Alexander_Tarasenko_Tech_Lead.pdf
Кандидат
Alexander Tarasenko
Ожидали
Tbilisi
Получили
Saint Petersburg
Модель
quality-comparator-default-a
Score
плохо
пропущено важное поле

country

63%

Country is incorrectly parsed.

Файл
tg_660_Alexander_Tarasenko_Tech_Lead.pdf
Кандидат
Alexander Tarasenko
Ожидали
UAE
Получили
Russia
Модель
quality-comparator-default-a
Score
плохо
пропущено важное поле

current_company

63%

Current company is missing.

Файл
tg_660_Alexander_Tarasenko_Tech_Lead.pdf
Кандидат
Alexander Tarasenko
Ожидали
Cypher Capital
Получили
Модель
quality-comparator-default-a
Score
плохо
пропущено важное поле

about

63%

About section is missing.

Файл
tg_660_Alexander_Tarasenko_Tech_Lead.pdf
Кандидат
Alexander Tarasenko
Ожидали
Tech Lead with over 10 years of experience building high-performance backend and integration platforms in C#/.NET. Launched MVPs from scratch and delivered scalable distributed systems to stable production, including real-time pipelines handling 500+ RPS with p99.95 < 400 ms and reducing data-loss incidents by 90%. Led cross-functional teams, established CI/CD and observability practices, and improved reliability and engineering standards. Strong in system architecture, event-driven design, and building production-ready solutions under real user load.
Получили
Модель
quality-comparator-default-a
Score
плохо
пропущено важное поле

education

63%

Education section is missing.

Файл
tg_660_Alexander_Tarasenko_Tech_Lead.pdf
Кандидат
Alexander Tarasenko
Ожидали
[{"degree":"Master’s Degree","end_year":2017,"organization":"Far Eastern Federal University","specialization":"Applied Mathematics and Computer Science","start_year":null}]
Получили
Модель
quality-comparator-default-a
Score
плохо
пропущено важное поле

languages

63%

Languages section is missing.

Файл
tg_660_Alexander_Tarasenko_Tech_Lead.pdf
Кандидат
Alexander Tarasenko
Ожидали
[{"lang":"Russian","level":"Native"},{"lang":"English","level":"C1"}]
Получили
Модель
quality-comparator-default-a
Score
плохо
пропущено важное поле

work_experience

63%

Work experience section is missing.

Файл
tg_660_Alexander_Tarasenko_Tech_Lead.pdf
Кандидат
Alexander Tarasenko
Ожидали
[{"city":"Dubai","company_name":"Cypher Capital","description":"Web3 investment firm focused on blockchain, digital assets, and early-stage crypto products.","end_date":"Oct 2025","position":"Tech Lead","start_date":"Nov 2024","total_months":12},{"city":"Nevada","company_name":"Sweed","description":"Retail software platform for cannabis dispensaries, covering POS, eCommerce, inventory, and payments.","end_date":"Nov 2024","position":"Tech Lead","start_date":"Jul 2023","total_months":16},{"city":"Saint Petersburg","company_name":"Ozon","description":"Russian e-commerce marketplace and digital platform, similar to Amazon.","end_date":"Jun 2023","position":"Senior Software Engineer","start_date":"Sep 2021","total_months":22},{"city":"Vladivostok","company_name":"Siemens Finance","description":"Russian equipment finance and leasing company, similar to BNP Paribas Leasing Solutions.","end_date":"Aug 2021","position":"Software Engineer","start_date":"Apr 2019","total_months":28},{"city":"Vladivostok","company_name":"Izumrud","description":"Russian manufacturer of marine electronics and other complex electronic systems, similar to Kongsberg Maritime.","end_date":"Mar 2019","position":"Software Engineer","start_date":"Dec 2015","total_months":40}]
Получили
Модель
quality-comparator-default-a
Score
плохо
пропущено важное поле

city

89%

City is incorrectly parsed.

Файл
tg_660_Alexander_Tarasenko_Tech_Lead.pdf
Кандидат
Alexander Tarasenko
Ожидали
Tbilisi
Получили
Saint Petersburg
Модель
quality-comparator-default-a
Score
приемлемо
пропущено важное поле

country

89%

Country is incorrectly parsed.

Файл
tg_660_Alexander_Tarasenko_Tech_Lead.pdf
Кандидат
Alexander Tarasenko
Ожидали
UAE
Получили
Russia
Модель
quality-comparator-default-a
Score
приемлемо
пропущено важное поле

city

89%

City is incorrectly parsed.

Файл
tg_666_Aniskov_Head_of_Mobile_Engineering.pdf
Кандидат
Roman Aniskov
Ожидали
Belgrade
Получили
Moscow
Модель
quality-comparator-default-a
Score
приемлемо
пропущено важное поле

country

89%

Country is incorrectly parsed.

Файл
tg_666_Aniskov_Head_of_Mobile_Engineering.pdf
Кандидат
Roman Aniskov
Ожидали
Serbia
Получили
Russia
Модель
quality-comparator-default-a
Score
приемлемо
пропущено важное поле

city

89%

City is incorrectly parsed.

Файл
tg_666_Aniskov_Head_of_Mobile_Engineering.pdf
Кандидат
Roman Aniskov
Ожидали
Belgrade
Получили
Moscow
Модель
quality-comparator-default-a
Score
приемлемо
пропущено важное поле

country

89%

Country is incorrectly parsed.

Файл
tg_666_Aniskov_Head_of_Mobile_Engineering.pdf
Кандидат
Roman Aniskov
Ожидали
Serbia
Получили
Russia
Модель
quality-comparator-default-a
Score
приемлемо
пропущено важное поле

city

89%

City is incorrectly parsed.

Файл
tg_667_Irina_Zasenko_Data_Analyst.pdf
Кандидат
Irina Zasenko
Ожидали
Dusseldorf
Получили
Moscow
Модель
quality-comparator-default-a
Score
приемлемо
пропущено важное поле

country

89%

Country is incorrectly parsed.

Файл
tg_667_Irina_Zasenko_Data_Analyst.pdf
Кандидат
Irina Zasenko
Ожидали
Germany
Получили
Russia
Модель
quality-comparator-default-a
Score
приемлемо
пропущено важное поле

current_company

63%

Field is missing in parser output.

Файл
tg_667_Irina_Zasenko_Data_Analyst.pdf
Кандидат
Irina Zasenko
Ожидали
Sauerland-Tourismus e.V.
Получили
Модель
quality-comparator-default-a
Score
плохо
пропущено важное поле

work_experience

63%

Field is missing in parser output.

Файл
tg_667_Irina_Zasenko_Data_Analyst.pdf
Кандидат
Irina Zasenko
Ожидали
[{"city":"Remote","company_name":"Sauerland-Tourismus e.V.","description":"Regional tourism organization responsible for destination promotion, visitor services, and digital travel content.","end_date":"Feb 2026","position":"Data Analyst","start_date":"Dec 2025","total_months":3},{"city":"Berlin","company_name":"IT Career Hub","description":"Berlin-based analytics training provider focused on practical projects in SQL, Python, and BI tools.","end_date":"Sep 2025","position":"Data Analyst","start_date":"Nov 2024","total_months":10},{"city":"Moscow","company_name":"IT LLC SIBINTEK","description":"A Russian IT giant in the oil and gas sector, part of the Rosneft Group, competing with Schlumberger.","end_date":"Mar 2023","position":"Systems Analyst","start_date":"Oct 2016","total_months":78},{"city":"Moscow","company_name":"RN-Inform and British Petroleum","description":null,"end_date":"Oct 2016","position":"Earlier Experience in Data Integration and Production Analytics","start_date":"Nov 2004","total_months":144}]
Получили
Модель
quality-comparator-default-a
Score
плохо
пропущено важное поле

about

63%

Field is missing in parser output.

Файл
tg_667_Irina_Zasenko_Data_Analyst.pdf
Кандидат
Irina Zasenko
Ожидали
Data Analyst with over 10 years of experience in enterprise data, reporting, system testing, and process improvement across IT and energy environments. Strong in SQL, data validation, dashboarding, and user workflow analysis, with measurable results including 70% fewer support requests, 40% improvement in data quality and process efficiency, and 60% faster reporting through SQL automation. Experienced in large-scale systems and cross-functional analytical work.
Получили
Модель
quality-comparator-default-a
Score
плохо
пропущено важное поле

city

63%

Incorrect city value.

Файл
tg_667_Irina_Zasenko_Data_Analyst.pdf
Кандидат
Irina Zasenko
Ожидали
Dusseldorf
Получили
Moscow
Модель
quality-comparator-default-a
Score
плохо
пропущено важное поле

country

63%

Incorrect country value.

Файл
tg_667_Irina_Zasenko_Data_Analyst.pdf
Кандидат
Irina Zasenko
Ожидали
Germany
Получили
Russia
Модель
quality-comparator-default-a
Score
плохо
пропущено важное поле

education

63%

Field is missing in parser output.

Файл
tg_667_Irina_Zasenko_Data_Analyst.pdf
Кандидат
Irina Zasenko
Ожидали
[{"degree":null,"end_year":2007,"organization":"Tyumen State Oil and Gas University","specialization":"Engineer in Field Development","start_year":null}]
Получили
Модель
quality-comparator-default-a
Score
плохо
пропущено важное поле

languages

63%

Field is missing in parser output.

Файл
tg_667_Irina_Zasenko_Data_Analyst.pdf
Кандидат
Irina Zasenko
Ожидали
[{"lang":"Russian","level":"Native"},{"lang":"English","level":"B2"},{"lang":"German","level":"B2"}]
Получили
Модель
quality-comparator-default-a
Score
плохо
пропущено важное поле

city

89%

City is incorrectly parsed.

Файл
tg_669_Ilia_Lopukhov_Creative_Director.pdf
Кандидат
Ilia Lopukhov
Ожидали
Bali
Получили
Moscow
Модель
quality-comparator-default-a
Score
приемлемо
пропущено важное поле

current_company

89%

Current company is incorrectly parsed.

Файл
tg_669_Ilia_Lopukhov_Creative_Director.pdf
Кандидат
Ilia Lopukhov
Ожидали
Realweb Digital Agency
Получили
DiceWillDecide
Модель
quality-comparator-default-a
Score
приемлемо
пропущено важное поле

city

89%

Город указан неверно, в резюме указан 'Bali', а в парсере 'Moscow'.

Файл
tg_669_Ilia_Lopukhov_Creative_Director.pdf
Кандидат
Ilia Lopukhov
Ожидали
Bali
Получили
Moscow
Модель
quality-comparator-default-a
Score
приемлемо
пропущено важное поле

country

89%

Страна указана неверно, в резюме указана 'Indonesia', а в парсере 'Russia'.

Файл
tg_669_Ilia_Lopukhov_Creative_Director.pdf
Кандидат
Ilia Lopukhov
Ожидали
Indonesia
Получили
Russia
Модель
quality-comparator-default-a
Score
приемлемо
пропущено важное поле

city

83%

City is explicitly mentioned in the reference but is missing in parser output.

Файл
tg_679_Aleksandra_Kolesnikova_Head_of_Product.pdf
Кандидат
Aleksandra Kolesnikova
Ожидали
Remote
Получили
Не указан
Модель
quality-comparator-default-a
Score
приемлемо
пропущено важное поле

country

83%

Country is explicitly mentioned in the reference but is missing in parser output.

Файл
tg_679_Aleksandra_Kolesnikova_Head_of_Product.pdf
Кандидат
Aleksandra Kolesnikova
Ожидали
USA
Получили
Модель
quality-comparator-default-a
Score
приемлемо
пропущено важное поле

total_experience_months

83%

Total experience months calculated incorrectly, leading to a significant discrepancy.

Файл
tg_679_Aleksandra_Kolesnikova_Head_of_Product.pdf
Кандидат
Aleksandra Kolesnikova
Ожидали
84
Получили
117
Модель
quality-comparator-default-a
Score
приемлемо
неверное значение

current_company

83%

Current company name includes additional information not present in the reference.

Файл
tg_679_Aleksandra_Kolesnikova_Head_of_Product.pdf
Кандидат
Aleksandra Kolesnikova
Ожидали
Welltory
Получили
Welltory, USA
Модель
quality-comparator-default-a
Score
приемлемо
пропущено важное поле

city

89%

City is incorrectly parsed.

Файл
tg_682_Aleksey_Titarenko_Strategic_Customer_Success_Manager.pdf
Кандидат
Aleksey Titarenko
Ожидали
Västerås
Получили
Moscow
Модель
quality-comparator-default-a
Score
приемлемо
пропущено важное поле

country

89%

Country is incorrectly parsed.

Файл
tg_682_Aleksey_Titarenko_Strategic_Customer_Success_Manager.pdf
Кандидат
Aleksey Titarenko
Ожидали
Sweden
Получили
Russia
Модель
quality-comparator-default-a
Score
приемлемо
пропущено важное поле

city

63%

City is incorrectly parsed.

Файл
tg_682_Aleksey_Titarenko_Strategic_Customer_Success_Manager.pdf
Кандидат
Aleksey Titarenko
Ожидали
Västerås
Получили
Moscow
Модель
quality-comparator-default-a
Score
плохо
пропущено важное поле

country

63%

Country is incorrectly parsed.

Файл
tg_682_Aleksey_Titarenko_Strategic_Customer_Success_Manager.pdf
Кандидат
Aleksey Titarenko
Ожидали
Sweden
Получили
Russia
Модель
quality-comparator-default-a
Score
плохо
пропущено важное поле

current_company

63%

Current company is missing.

Файл
tg_682_Aleksey_Titarenko_Strategic_Customer_Success_Manager.pdf
Кандидат
Aleksey Titarenko
Ожидали
Ailet
Получили
Модель
quality-comparator-default-a
Score
плохо
пропущено важное поле

about

63%

About section is missing.

Файл
tg_682_Aleksey_Titarenko_Strategic_Customer_Success_Manager.pdf
Кандидат
Aleksey Titarenko
Ожидали
Strategic Customer Success Manager with over 9 years of experience managing enterprise accounts and driving retention, expansion, and revenue growth across SaaS, e-commerce, mobility, and market intelligence. Delivered 96% retention across a RUB 90.5M ARR portfolio, scaled a key account from RUB 5.8M to RUB 12.3M ARR, and preserved RUB 23M in annual revenue during competitive tenders. Trusted to stabilize at-risk accounts, lead complex client situations, and convert customer needs into measurable commercial growth.
Получили
Модель
quality-comparator-default-a
Score
плохо
пропущено важное поле

education

63%

Education details are missing.

Файл
tg_682_Aleksey_Titarenko_Strategic_Customer_Success_Manager.pdf
Кандидат
Aleksey Titarenko
Ожидали
[{"degree": null, "end_year": 2013, "organization": "State University of Management", "specialization": "Specialist Degree in Organization Management", "start_year": null}]
Получили
Модель
quality-comparator-default-a
Score
плохо
пропущено важное поле

languages

63%

Languages are missing.

Файл
tg_682_Aleksey_Titarenko_Strategic_Customer_Success_Manager.pdf
Кандидат
Aleksey Titarenko
Ожидали
[{"lang": "Russian", "level": "Native"}, {"lang": "English", "level": "C1"}, {"lang": "Swedish", "level": "A2"}, {"lang": "German", "level": "A1"}]
Получили
Модель
quality-comparator-default-a
Score
плохо
пропущено важное поле

work_experience

63%

Work experience is missing.

Файл
tg_682_Aleksey_Titarenko_Strategic_Customer_Success_Manager.pdf
Кандидат
Aleksey Titarenko
Ожидали
[{"city": "Remote", "company_name": "Ailet", "description": "AI-powered retail analytics SaaS company for CPG, retail, and pharma brands.", "end_date": "to present", "position": "Strategic Customer Success Manager", "start_date": "Apr 2024", "total_months": null}, {"city": "Remote", "company_name": "Yango", "description": "Global mobility and digital services platform operating across 30+ countries, similar to Uber.", "end_date": "Nov 2023", "position": "Key Account Manager", "start_date": "Nov 2022", "total_months": 12}, {"city": "Moscow", "company_name": "Yandex.Market", "description": "E-commerce marketplace where sellers list products and customers find, compare, and buy goods, similar to Amazon.", "end_date": "Nov 2022", "position": "Partner Account Manager", "start_date": "Oct 2020", "total_months": 25}, {"city": "Moscow", "company_name": "GfK", "description": "Global consumer intelligence and market research company providing retail analytics and insights.", "end_date": "Oct 2020", "position": "National Key Account Manager", "start_date": "Jan 2020", "total_months": 10}, {"city": null, "company_name": null, "description": null, "end_date": "Jan 2020", "position": "Senior Consultant", "start_date": "Jan 2019", "total_months": 12}, {"city": null, "company_name": null, "description": null, "end_date": "Jan 2019", "position": "Consultant", "start_date": "Jan 2017", "total_months": 24}]
Получили
Модель
quality-comparator-default-a
Score
плохо
пропущено важное поле

city

84%

City is incorrectly parsed.

Файл
tg_682_Aleksey_Titarenko_Strategic_Customer_Success_Manager.pdf
Кандидат
Aleksey Titarenko
Ожидали
Västerås
Получили
Moscow
Модель
quality-comparator-default-a
Score
приемлемо
пропущено важное поле

country

84%

Country is incorrectly parsed.

Файл
tg_682_Aleksey_Titarenko_Strategic_Customer_Success_Manager.pdf
Кандидат
Aleksey Titarenko
Ожидали
Sweden
Получили
Russia
Модель
quality-comparator-default-a
Score
приемлемо
пропущено важное поле

about

84%

About section is not a direct translation and contains additional information.

Файл
tg_682_Aleksey_Titarenko_Strategic_Customer_Success_Manager.pdf
Кандидат
Aleksey Titarenko
Ожидали
Strategic Customer Success Manager with over 9 years of experience managing enterprise accounts and driving retention, expansion, and revenue growth across SaaS, e-commerce, mobility, and market intelligence. Delivered 96% retention across a RUB 90.5M ARR portfolio, scaled a key account from RUB 5.8M to RUB 12.3M ARR, and preserved RUB 23M in annual revenue during competitive tenders. Trusted to stabilize at-risk accounts, lead complex client situations, and convert customer needs into measurable commercial growth.
Получили
Кандидат имеет более 9 лет опыта в управлении корпоративными аккаунтами и повышении удержания клиентов, расширении и росте выручки в сферах SaaS, электронной коммерции, мобильности и анализа рынка. Успешно увеличил выручку ключевых аккаунтов, снизил отток клиентов и сохранил значительные объёмы доходов в условиях конкурентных тендеров. Обладает опытом стабилизации проблемных аккаунтов и преобразования потребностей клиентов в измеримый коммерческий рост. Владеет инструментами HubSpot, Salesforce, Jira, YouTrack, Miro и другими.
Модель
quality-comparator-default-a
Score
приемлемо
пропущено важное поле

city

84%

City is incorrectly parsed.

Файл
tg_683_Marat_Gudkov_Product_Manager.pdf
Кандидат
Marat Gudkov
Ожидали
Chiang Mai
Получили
Moscow
Модель
quality-comparator-default-a
Score
приемлемо
пропущено важное поле

country

84%

Country is incorrectly parsed.

Файл
tg_683_Marat_Gudkov_Product_Manager.pdf
Кандидат
Marat Gudkov
Ожидали
Thailand
Получили
Russia
Модель
quality-comparator-default-a
Score
приемлемо
пропущено важное поле

current_company

84%

Current company is incorrectly parsed.

Файл
tg_683_Marat_Gudkov_Product_Manager.pdf
Кандидат
Marat Gudkov
Ожидали
Manatal
Получили
Yield Guarden
Модель
quality-comparator-default-a
Score
приемлемо
пропущено важное поле

city

89%

Город не совпадает с ожидаемым значением.

Файл
tg_683_Marat_Gudkov_Product_Manager.pdf
Кандидат
Marat Gudkov
Ожидали
Chiang Mai
Получили
Moscow
Модель
quality-comparator-default-a
Score
приемлемо
пропущено важное поле

country

89%

Страна не совпадает с ожидаемым значением.

Файл
tg_683_Marat_Gudkov_Product_Manager.pdf
Кандидат
Marat Gudkov
Ожидали
Thailand
Получили
Russia
Модель
quality-comparator-default-a
Score
приемлемо
пропущено важное поле

current_company

68%

Field is explicitly present in reference but missing in parser output.

Файл
tg_684_Valeria_Spektor_Senior_QA_Engineer.pdf
Кандидат
Valeria Spektor
Ожидали
Empire Leads
Получили
Модель
quality-comparator-default-a
Score
плохо
пропущено важное поле

about

68%

Field is explicitly present in reference but missing in parser output.

Файл
tg_684_Valeria_Spektor_Senior_QA_Engineer.pdf
Кандидат
Valeria Spektor
Ожидали
Senior QA Engineer with 3 years of experience in high-load CRM systems, AI products, and web platforms. Built QA processes from scratch and owned end-to-end quality in complex, business-critical environments. Improved pre-release detection of critical defects to 70-80% and reduced critical production defects by 30-40% through stronger test coverage, release control, and quality ownership. Strong in root-cause analysis, risk-based testing, and mentoring junior QA engineers.
Получили
Модель
quality-comparator-default-a
Score
плохо
пропущено важное поле

city

68%

Field is present in reference but incorrectly reported as 'Не указан' in parser output.

Файл
tg_684_Valeria_Spektor_Senior_QA_Engineer.pdf
Кандидат
Valeria Spektor
Ожидали
Kiryat Yam
Получили
Не указан
Модель
quality-comparator-default-a
Score
плохо
пропущено важное поле

education

68%

Field is explicitly present in reference but missing in parser output.

Файл
tg_684_Valeria_Spektor_Senior_QA_Engineer.pdf
Кандидат
Valeria Spektor
Ожидали
[{"degree": null, "end_year": null, "organization": "Kostroma State University", "specialization": "Bachelor’s Degree in Service and Tourism", "start_year": 2006}, {"degree": null, "end_year": null, "organization": "University of Haifa", "specialization": "Master’s Degree in Geography, Tourism Specialization", "start_year": 2010}]
Получили
Модель
quality-comparator-default-a
Score
плохо
пропущено важное поле

languages

68%

Field is explicitly present in reference but missing in parser output.

Файл
tg_684_Valeria_Spektor_Senior_QA_Engineer.pdf
Кандидат
Valeria Spektor
Ожидали
[{"lang": "Russian", "level": "Native"}, {"lang": "English", "level": "B1"}, {"lang": "Hebrew", "level": "C1"}]
Получили
Модель
quality-comparator-default-a
Score
плохо
пропущено важное поле

work_experience

68%

Field is explicitly present in reference but missing in parser output.

Файл
tg_684_Valeria_Spektor_Senior_QA_Engineer.pdf
Кандидат
Valeria Spektor
Ожидали
[{"city": null, "company_name": "Empire Leads", "description": "A lead-generation company with a high-load CRM for lead management, sales operations, and analytics. Built QA processes from scratch, reducing critical release defects by 30-40% in the first 3 months. Owned end-to-end QA across UI, API, and DB layers, increasing critical defect detection before release to ~80%. Applied risk-based testing to reports, calculations, statuses, and analytics, shortening test execution time by 20-25%. Identified 50+ defects across reports, calculations, statuses, and data consistency, preventing critical issues. Performed root-cause analysis and coordinated release quality as the sole QA on the product, improving release stability and reducing repeated defects.", "end_date": "Mar 2026", "position": "Senior QA Engineer", "start_date": "Oct 2025", "total_months": 5}, {"city": null, "company_name": "WowPlaces", "description": "A travel marketplace focused on tours and recreation programs, with web and API-driven user workflows. Led a team of 4 junior QA engineers, increasing test execution efficiency by approximately 20%. Trained and onboarded 4 junior QA engineers, accelerating ramp-up by approximately 30%. Introduced risk-based prioritization and regression checklists, reducing defects in critical flows. Streamlined test cases, acceptance criteria, and pre-release review, reducing rework and defect leakage.", "end_date": "Aug 2025", "position": "QA Team Lead", "start_date": "Jun 2025", "total_months": 2}, {"city": null, "company_name": null, "description": "Quickly ramped up on the product and release workflows, supporting regression coverage and release testing. Covered core user flows, API integrations, and end-to-end scenarios, expanding coverage of critical areas. Created test cases and checklists and validated API behavior in Postman, improving test consistency and defect detection in business-logic scenarios.", "end_date": "Jun 2025", "position": "QA Engineer", "start_date": "May 2025", "total_months": 1}, {"city": null, "company_name": "VitaGPT-Chatbots.Studio", "description": "A chatbot development company delivering conversational AI solutions across banking, retail, healthcare, and travel. Established QA processes from scratch for AI assistant testing, introducing structured scenarios and checklists. Detected 30+ AI logic defects and mentored 50+ QA trainees, improving AI response consistency and training quality. Standardized validation of conversational flows, context retention, fallback logic, and hallucinations, increasing scenario coverage by ~30%.", "end_date": "Jan 2025", "position": "QA Engineer", "start_date": "Jun 2024", "total_months": 7}, {"city": null, "company_name": "Technosoft", "description": "Software development company building mobile and web products, similar to EPAM. Executed manual testing of a mobile application and prepared test cases and checklists, improving test coverage. Reported and verified defects and ran network checks via Charles Proxy, improving visibility into unstable scenarios.", "end_date": "Nov 2023", "position": "QA Engineer Intern", "start_date": "Sep 2023", "total_months": 2}]
Получили
Модель
quality-comparator-default-a
Score
плохо
пропущено важное поле

city

87%

Город работы отличается от указанного в reference.

Файл
tg_685_Mariia_Koroleva_Senior_IT_Business_Analyst.pdf
Кандидат
Mariia Koroleva
Ожидали
Baku
Получили
Moscow
Модель
quality-comparator-default-a
Score
приемлемо
пропущено важное поле

country

87%

Страна работы отличается от указанной в reference.

Файл
tg_685_Mariia_Koroleva_Senior_IT_Business_Analyst.pdf
Кандидат
Mariia Koroleva
Ожидали
Azerbaijan
Получили
Russia
Модель
quality-comparator-default-a
Score
приемлемо
ошибка формата

education[0].start_year

87%

Отсутствует год начала обучения в образовании.

Файл
tg_685_Mariia_Koroleva_Senior_IT_Business_Analyst.pdf
Кандидат
Mariia Koroleva
Ожидали
2007
Получили
Модель
quality-comparator-default-a
Score
приемлемо
ошибка формата

education[1].start_year

87%

Отсутствует год начала обучения в образовании.

Файл
tg_685_Mariia_Koroleva_Senior_IT_Business_Analyst.pdf
Кандидат
Mariia Koroleva
Ожидали
2007
Получили
Модель
quality-comparator-default-a
Score
приемлемо
ошибка формата

education[2].degree

87%

Отсутствует степень в образовании.

Файл
tg_685_Mariia_Koroleva_Senior_IT_Business_Analyst.pdf
Кандидат
Mariia Koroleva
Ожидали
Course
Получили
Модель
quality-comparator-default-a
Score
приемлемо
ошибка формата

education[3].degree

87%

Отсутствует степень в образовании.

Файл
tg_685_Mariia_Koroleva_Senior_IT_Business_Analyst.pdf
Кандидат
Mariia Koroleva
Ожидали
Course
Получили
Модель
quality-comparator-default-a
Score
приемлемо
ошибка формата

education[4].degree

87%

Отсутствует степень в образовании.

Файл
tg_685_Mariia_Koroleva_Senior_IT_Business_Analyst.pdf
Кандидат
Mariia Koroleva
Ожидали
Course
Получили
Модель
quality-comparator-default-a
Score
приемлемо
ошибка формата

education[5].degree

87%

Отсутствует степень в образовании.

Файл
tg_685_Mariia_Koroleva_Senior_IT_Business_Analyst.pdf
Кандидат
Mariia Koroleva
Ожидали
Course
Получили
Модель
quality-comparator-default-a
Score
приемлемо
пропущено важное поле

city

89%

Город не совпадает с указанным в резюме.

Файл
tg_685_Mariia_Koroleva_Senior_IT_Business_Analyst.pdf
Кандидат
Mariia Koroleva
Ожидали
Baku
Получили
Moscow
Модель
quality-comparator-default-a
Score
приемлемо
пропущено важное поле

country

89%

Страна не совпадает с указанной в резюме.

Файл
tg_685_Mariia_Koroleva_Senior_IT_Business_Analyst.pdf
Кандидат
Mariia Koroleva
Ожидали
Azerbaijan
Получили
Russia
Модель
quality-comparator-default-a
Score
приемлемо
пропущено важное поле

city

89%

Город не совпадает с ожидаемым.

Файл
tg_685_Mariia_Koroleva_Senior_IT_Business_Analyst.pdf
Кандидат
Mariia Koroleva
Ожидали
Baku
Получили
Moscow
Модель
quality-comparator-default-a
Score
приемлемо
пропущено важное поле

country

89%

Страна не совпадает с ожидаемой.

Файл
tg_685_Mariia_Koroleva_Senior_IT_Business_Analyst.pdf
Кандидат
Mariia Koroleva
Ожидали
Azerbaijan
Получили
Russia
Модель
quality-comparator-default-a
Score
приемлемо
пропущено важное поле

about

68%

Field is missing in parser output.

Файл
tg_687_Pavel_Povalyaev_Senior_Frontend_Engineer.pdf
Кандидат
Pavel Povalyaev
Ожидали
Senior Frontend Engineer with 10 years of commercial experience in high-traffic web products. Specializes in frontend architecture modernization, legacy refactoring, and large-scale platform upgrades. Delivered platform upgrades that increased SSR performance by 20%, removed a legacy blocker that had prevented React upgrades for more than five years, and led multiple project launches. Strong in architecture decisions, code review, and delivery of maintainable frontend systems in complex product environments.
Получили
Модель
quality-comparator-default-a
Score
плохо
пропущено важное поле

current_company

68%

Field is missing in parser output.

Файл
tg_687_Pavel_Povalyaev_Senior_Frontend_Engineer.pdf
Кандидат
Pavel Povalyaev
Ожидали
Rambler&Co
Получили
Модель
quality-comparator-default-a
Score
плохо
пропущено важное поле

total_experience_months

68%

Parser calculated total experience incorrectly.

Файл
tg_687_Pavel_Povalyaev_Senior_Frontend_Engineer.pdf
Кандидат
Pavel Povalyaev
Ожидали
60
Получили
120
Модель
quality-comparator-default-a
Score
плохо
пропущено важное поле

work_experience

68%

Field is missing in parser output.

Файл
tg_687_Pavel_Povalyaev_Senior_Frontend_Engineer.pdf
Кандидат
Pavel Povalyaev
Ожидали
List of work experiences
Получили
Модель
quality-comparator-default-a
Score
плохо
пропущено важное поле

education

68%

Field is missing in parser output.

Файл
tg_687_Pavel_Povalyaev_Senior_Frontend_Engineer.pdf
Кандидат
Pavel Povalyaev
Ожидали
List of education entries
Получили
Модель
quality-comparator-default-a
Score
плохо
пропущено важное поле

languages

68%

Field is missing in parser output.

Файл
tg_687_Pavel_Povalyaev_Senior_Frontend_Engineer.pdf
Кандидат
Pavel Povalyaev
Ожидали
List of languages
Получили
Модель
quality-comparator-default-a
Score
плохо
пропущено важное поле

city

89%

City is incorrectly parsed.

Файл
tg_688_Roman_Okonenko_Senior_Legal_Counsel.docx.pdf
Кандидат
Roman Okonenko
Ожидали
Tbilisi
Получили
Moscow
Модель
quality-comparator-default-a
Score
приемлемо
пропущено важное поле

country

89%

Country is incorrectly parsed.

Файл
tg_688_Roman_Okonenko_Senior_Legal_Counsel.docx.pdf
Кандидат
Roman Okonenko
Ожидали
Georgia
Получили
Russia
Модель
quality-comparator-default-a
Score
приемлемо
пропущено важное поле

city

89%

City is incorrectly parsed.

Файл
tg_688_Roman_Okonenko_Senior_Legal_Counsel.docx.pdf
Кандидат
Roman Okonenko
Ожидали
Tbilisi
Получили
Moscow
Модель
quality-comparator-default-a
Score
приемлемо
пропущено важное поле

country

89%

Country is incorrectly parsed.

Файл
tg_688_Roman_Okonenko_Senior_Legal_Counsel.docx.pdf
Кандидат
Roman Okonenko
Ожидали
Georgia
Получили
Russia
Модель
quality-comparator-default-a
Score
приемлемо
пропущено важное поле

about

71%

Field is present in reference but missing in parser output.

Файл
tg_689_Veronika_Zhemchuzhnikova_Senior_Analyst.pdf
Кандидат
Veronika Zhemchuzhnikova
Ожидали
Senior Analyst with 13 years of experience in the securities market and 5 years in fintech and brokerage systems. Specializes in trading, risk, compliance, market surveillance, and Kafka-based data integrations. Delivered core solutions for market manipulation detection, regulatory reporting, and automated risk classification. Reduced operational incidents in risk and trading systems by 70%.
Получили
Модель
quality-comparator-default-a
Score
приемлемо
пропущено важное поле

current_company

71%

Field is present in reference but missing in parser output.

Файл
tg_689_Veronika_Zhemchuzhnikova_Senior_Analyst.pdf
Кандидат
Veronika Zhemchuzhnikova
Ожидали
FINAM Investment Company
Получили
Модель
quality-comparator-default-a
Score
приемлемо
пропущено важное поле

education

71%

Field is present in reference but missing in parser output.

Файл
tg_689_Veronika_Zhemchuzhnikova_Senior_Analyst.pdf
Кандидат
Veronika Zhemchuzhnikova
Ожидали
[{"degree":null,"end_year":2011,"organization":"Lomonosov Moscow State University","specialization":"Bachelor’s Degree in Economics","start_year":2007},{"degree":null,"end_year":2013,"organization":"Lomonosov Moscow State University","specialization":"Master’s Degree in State Audit (Higher School of State Audit)","start_year":2011},{"degree":null,"end_year":2013,"organization":"Russian Foreign Trade Academy (VAVT)","specialization":"MBA in Finance","start_year":2011},{"degree":null,"end_year":null,"organization":"Bauman Moscow State Technical University","specialization":"System Analysis","start_year":2025}]
Получили
Модель
quality-comparator-default-a
Score
приемлемо
пропущено важное поле

work_experience

71%

Field is present in reference but missing in parser output.

Файл
tg_689_Veronika_Zhemchuzhnikova_Senior_Analyst.pdf
Кандидат
Veronika Zhemchuzhnikova
Ожидали
[{"city":"Moscow","company_name":"FINAM Investment Company","description":"Leading brokerage group providing investment, trading and asset management services for retail and institutional clients. Built internal market manipulation detection framework and reporting system, reducing compliance workload from 5 hours to 1 hour daily and mitigating regulatory penalties of up to 500K RUB per violation. Optimized risk and trading systems across 4 trading platforms, reducing operational incidents by 70% over six months through process, data flow, and architecture improvements. Designed Kafka-based integration layer with multiple contract prototypes, processing several Gb of data per day, enabling faster data processing and improving real-time availability of trading and client information. Implemented automated risk classification mechanism across trading, CRM, and regulatory systems, ensuring consistent risk attribution and reducing compliance exposure. Developed client revenue distribution platform for asset management operations, enabling scalable product architecture and future commercialization. Delivered collateral acceptance framework for foreign currency assets across BackOffice and EDO systems, enabling new client acquisition and additional revenue streams.","end_date":"to present","position":"Senior Analyst","start_date":"Jun 2022","total_months":null},{"city":"Moscow","company_name":"Alfa-Bank","description":"Universal bank offering integrated banking, brokerage and investment services within a full financial ecosystem. Developed technical documentation for automated retrieval of new securities parameters and trained support team, reducing client support requests by 4x and improving incident resolution speed. Streamlined the end-to-end process for creation of new securities in the database and enhanced representation of existing assets in client portfolios.","end_date":"May 2022","position":"Senior Analyst","start_date":"May 2021","total_months":12},{"city":"Moscow","company_name":"VTB Bank","description":"Universal commercial bank with state participation, ranked among the top 3 banks in Russia, operating across retail, corporate and capital markets. Developed detection algorithm for identifying suspicious trading activity, including insider trading, market manipulation, and AML-related anomalies. Designed and implemented a market abuse monitoring framework with detection criteria across equities, derivatives (including options), and FX markets as part of the deployment of the Check4Trick system by Forecsys Ltd.","end_date":"May 2021","position":"Senior Compliance Officer","start_date":"Dec 2017","total_months":42},{"city":"Moscow","company_name":"BINBANK","description":"Commercial bank providing retail banking and capital markets services including repo and trading operations prior to integration into a larger banking group. Developed new brokerage products and tariff structures, increasing the company's revenue by 3%. Set credit risk limits for more than 20 counterparties and clients through qualitative and quantitative financial analysis, including assessment of financial performance, industry conditions, and key indicators under both Russian reporting standards and IFRS.","end_date":"Dec 2017","position":"Repo Trader","start_date":"May 2017","total_months":7}]
Получили
Модель
quality-comparator-default-a
Score
приемлемо
пропущено важное поле

languages

71%

Field is present in reference but missing in parser output.

Файл
tg_689_Veronika_Zhemchuzhnikova_Senior_Analyst.pdf
Кандидат
Veronika Zhemchuzhnikova
Ожидали
[{"lang":"Russian","level":"Native"},{"lang":"English","level":"C1"}]
Получили
Модель
quality-comparator-default-a
Score
приемлемо
неверное значение

social_media

71%

Parser output contains an additional non-canonical URL.

Файл
tg_689_Veronika_Zhemchuzhnikova_Senior_Analyst.pdf
Кандидат
Veronika Zhemchuzhnikova
Ожидали
["https://www.linkedin.com/in/veronika-zhemchuzhnikova"]
Получили
["linkedin.com/in/veronika-zhemchuzhnikova", "https://www.linkedin.com/in/veronika-zhemchuzhnikova"]
Модель
quality-comparator-default-a
Score
приемлемо
пропущено важное поле

city

89%

Город указан неверно, в резюме указан Almaty.

Файл
tg_696_Ekaterina_Novoselova_Chief_Data_and_Analytics_Officer.pdf
Кандидат
Ekaterina Novoselova
Ожидали
Almaty
Получили
Moscow
Модель
quality-comparator-default-a
Score
приемлемо
пропущено важное поле

country

89%

Страна указана неверно, в резюме указана Kazakhstan.

Файл
tg_696_Ekaterina_Novoselova_Chief_Data_and_Analytics_Officer.pdf
Кандидат
Ekaterina Novoselova
Ожидали
Kazakhstan
Получили
Russia
Модель
quality-comparator-default-a
Score
приемлемо
пропущено важное поле

city

89%

Город указан неверно.

Файл
tg_666_Aniskov_Head_of_Mobile_Engineering.pdf
Кандидат
Roman Aniskov
Ожидали
Belgrade
Получили
Moscow
Модель
quality-comparator-default-a
Score
приемлемо
пропущено важное поле

country

89%

Страна указана неверно.

Файл
tg_666_Aniskov_Head_of_Mobile_Engineering.pdf
Кандидат
Roman Aniskov
Ожидали
Serbia
Получили
Russia
Модель
quality-comparator-default-a
Score
приемлемо
пропущено важное поле

current_company

63%

Field is explicitly present in reference but missing in parser output.

Файл
tg_666_Aniskov_Head_of_Mobile_Engineering.pdf
Кандидат
Roman Aniskov
Ожидали
Arctic7
Получили
Модель
quality-comparator-default-a
Score
плохо
пропущено важное поле

about

63%

Field is explicitly present in reference but missing in parser output.

Файл
tg_666_Aniskov_Head_of_Mobile_Engineering.pdf
Кандидат
Roman Aniskov
Ожидали
Head of Mobile Engineering with 12 years of experience in iOS development, architecture, and engineering leadership. Built teams from scratch, led a 30-person mobile organization across 5 squads, and delivered products from discovery to production, including launch in 4 months. Increased delivery throughput by 20%, reduced time-to-market by 30%, and built scalable delivery processes. Strong in solving complex technical challenges and turning engineering execution into business impact.
Получили
Модель
quality-comparator-default-a
Score
плохо
пропущено важное поле

city

63%

Field value does not match the expected value from reference.

Файл
tg_666_Aniskov_Head_of_Mobile_Engineering.pdf
Кандидат
Roman Aniskov
Ожидали
Belgrade
Получили
Moscow
Модель
quality-comparator-default-a
Score
плохо
пропущено важное поле

country

63%

Field value does not match the expected value from reference.

Файл
tg_666_Aniskov_Head_of_Mobile_Engineering.pdf
Кандидат
Roman Aniskov
Ожидали
Serbia
Получили
Russia
Модель
quality-comparator-default-a
Score
плохо
пропущено важное поле

education

63%

Field is explicitly present in reference but missing in parser output.

Файл
tg_666_Aniskov_Head_of_Mobile_Engineering.pdf
Кандидат
Roman Aniskov
Ожидали
[{"degree":null,"end_year":null,"organization":"Volgograd State Technical University","specialization":"Master’s Degree in Electronics and Computer Engineering, Computer Systems and Networks","start_year":2012}]
Получили
[]
Модель
quality-comparator-default-a
Score
плохо
пропущено важное поле

languages

63%

Field is explicitly present in reference but missing in parser output.

Файл
tg_666_Aniskov_Head_of_Mobile_Engineering.pdf
Кандидат
Roman Aniskov
Ожидали
[{"lang":"Russian","level":"Native"},{"lang":"English","level":"B2"},{"lang":"Serbian","level":"A2"}]
Получили
[]
Модель
quality-comparator-default-a
Score
плохо
пропущено важное поле

work_experience

63%

Field is explicitly present in reference but missing in parser output.

Файл
tg_666_Aniskov_Head_of_Mobile_Engineering.pdf
Кандидат
Roman Aniskov
Ожидали
[{"city":"Remote","company_name":"Arctic7","description":"A digital engineering company delivering cross-platform technology solutions. Built and led a cross-functional team from scratch, hiring 6 engineers and establishing core delivery processes, ensuring on-time execution across 4 product phases. Architected and delivered a shared Kotlin Multiplatform SDK, reducing time to launch the next client platform from 4 months to 2 months. Owned delivery from customer discovery to first production release, launching the first version in 4 months. Delivered 4 production clients across iOS, macOS, Android, and Windows, enabling full cross-platform rollout for about 1,000 SMB accounts. Implemented CI/CD and testing workflows, reducing release preparation to 2 days and maintaining a 99.7%+ crash-free rate.","end_date":"to present","position":"Head of Mobile Engineering","start_date":"Dec 2023","total_months":null},{"city":"Moscow","company_name":"Home Credit Bank","description":"A major Russian consumer finance bank, similar to Santander Consumer Finance. Led a 30-person mobile engineering organization across 5 cross-functional squads, building a more structured leadership, mentoring, and engineer growth model. Introduced a unified prioritization model, increasing delivery throughput by 20% and reducing time-to-market by 30%. Rebuilt the hiring process, reducing time-to-hire from 3+ weeks to 5 business days and hiring 10 engineers. Improved intake and planning workflows, raising planning accuracy to 83% across about 150 product initiatives per quarter. Integrated Flagsmith into mobile applications, enabling about 30 A/B tests without additional releases.","end_date":"Dec 2023","position":"Head of Mobile Engineering","start_date":"Dec 2020","total_months":36},{"city":"Moscow","company_name":"ivi","description":"One of Russia’s leading online streaming platforms for movies and TV shows, similar to Netflix. Led technical development of 4 iOS and tvOS applications on a shared codebase, defining the platform roadmap and mentoring 3 engineers. Implemented a design system with native code generation, reducing layout time from 1 day to 2 hours and accelerating UI delivery by 2-3x. Automated build and release workflows with quality gates, reducing release preparation from 2 hours to 15 minutes. Introduced pre-release performance controls, improving stability for products with 1M MAU and 120K DAU.","end_date":"Aug 2020","position":"iOS Tech Lead","start_date":"May 2019","total_months":15},{"city":null,"company_name":null,"description":null,"end_date":"Apr 2019","position":"Senior iOS Engineer","start_date":"Apr 2016","total_months":36}]
Получили
[]
Модель
quality-comparator-default-a
Score
плохо
пропущено важное поле

city

89%

Город указан неверно.

Файл
tg_667_Irina_Zasenko_Data_Analyst.pdf
Кандидат
Irina Zasenko
Ожидали
Dusseldorf
Получили
Moscow
Модель
quality-comparator-default-a
Score
приемлемо
пропущено важное поле

country

89%

Страна указана неверно.

Файл
tg_667_Irina_Zasenko_Data_Analyst.pdf
Кандидат
Irina Zasenko
Ожидали
Germany
Получили
Russia
Модель
quality-comparator-default-a
Score
приемлемо
пропущено важное поле

city

89%

City is incorrectly parsed.

Файл
tg_667_Irina_Zasenko_Data_Analyst.pdf
Кандидат
Irina Zasenko
Ожидали
Dusseldorf
Получили
Moscow
Модель
quality-comparator-default-a
Score
приемлемо
пропущено важное поле

country

89%

Country is incorrectly parsed.

Файл
tg_667_Irina_Zasenko_Data_Analyst.pdf
Кандидат
Irina Zasenko
Ожидали
Germany
Получили
Russia
Модель
quality-comparator-default-a
Score
приемлемо
пропущено важное поле

current_company

89%

Текущая компания отсутствует в выходных данных парсера.

Файл
tg_668_Михаил_Ледин_Chief_Technology_Officer.pdf
Кандидат
Михаил Ледин
Ожидали
Алгоритмика
Получили
Модель
quality-comparator-default-a
Score
приемлемо
пропущено важное поле

work_experience

89%

Опыт работы отсутствует в выходных данных парсера.

Файл
tg_668_Михаил_Ледин_Chief_Technology_Officer.pdf
Кандидат
Михаил Ледин
Ожидали
Список опыта работы
Получили
Модель
quality-comparator-default-a
Score
приемлемо
пропущено важное поле

city

89%

City is incorrectly parsed.

Файл
tg_670_Tatiana_Sedova_Technology_Business_Partner.pdf
Кандидат
Tatiana Sedova
Ожидали
Dubai
Получили
Moscow
Модель
quality-comparator-default-a
Score
приемлемо
пропущено важное поле

country

89%

Country is incorrectly parsed.

Файл
tg_670_Tatiana_Sedova_Technology_Business_Partner.pdf
Кандидат
Tatiana Sedova
Ожидали
UAE
Получили
Russia
Модель
quality-comparator-default-a
Score
приемлемо
пропущено важное поле

city

89%

Город работы указан неверно.

Файл
tg_670_Tatiana_Sedova_Technology_Business_Partner.pdf
Кандидат
Tatiana Sedova
Ожидали
Dubai
Получили
Moscow
Модель
quality-comparator-default-a
Score
приемлемо
пропущено важное поле

country

89%

Страна работы указана неверно.

Файл
tg_670_Tatiana_Sedova_Technology_Business_Partner.pdf
Кандидат
Tatiana Sedova
Ожидали
UAE
Получили
Russia
Модель
quality-comparator-default-a
Score
приемлемо
пропущено важное поле

city

84%

City is explicitly mentioned in the reference but is missing in parser output.

Файл
tg_679_Aleksandra_Kolesnikova_Head_of_Product.pdf
Кандидат
Aleksandra Kolesnikova
Ожидали
Remote
Получили
Не указан
Модель
quality-comparator-default-a
Score
приемлемо
пропущено важное поле

country

84%

Country is explicitly mentioned in the reference but is missing in parser output.

Файл
tg_679_Aleksandra_Kolesnikova_Head_of_Product.pdf
Кандидат
Aleksandra Kolesnikova
Ожидали
USA
Получили
Модель
quality-comparator-default-a
Score
приемлемо
пропущено важное поле

current_company

84%

Current company is explicitly mentioned in the reference but is replaced with a placeholder in parser output.

Файл
tg_679_Aleksandra_Kolesnikova_Head_of_Product.pdf
Кандидат
Aleksandra Kolesnikova
Ожидали
Welltory
Получили
[КОМПАНИЯ_1]
Модель
quality-comparator-default-a
Score
приемлемо
пропущено важное поле

city

89%

Город отсутствует в parser_fields, хотя он указан в reference.

Файл
tg_679_Aleksandra_Kolesnikova_Head_of_Product.pdf
Кандидат
Aleksandra Kolesnikova
Ожидали
Remote
Получили
Не указан
Модель
quality-comparator-default-a
Score
приемлемо
пропущено важное поле

total_experience_months

89%

Общий опыт работы неправильно рассчитан, что приводит к значительному расхождению.

Файл
tg_679_Aleksandra_Kolesnikova_Head_of_Product.pdf
Кандидат
Aleksandra Kolesnikova
Ожидали
84
Получили
132
Модель
quality-comparator-default-a
Score
приемлемо
пропущено важное поле

current_company

63%

current_company is missing in parser output

Файл
tg_683_Marat_Gudkov_Product_Manager.pdf
Кандидат
Marat Gudkov
Ожидали
Manatal
Получили
Модель
quality-comparator-default-a
Score
плохо
пропущено важное поле

city

63%

city is incorrect in parser output

Файл
tg_683_Marat_Gudkov_Product_Manager.pdf
Кандидат
Marat Gudkov
Ожидали
Chiang Mai
Получили
Moscow
Модель
quality-comparator-default-a
Score
плохо
пропущено важное поле

country

63%

country is incorrect in parser output

Файл
tg_683_Marat_Gudkov_Product_Manager.pdf
Кандидат
Marat Gudkov
Ожидали
Thailand
Получили
Russia
Модель
quality-comparator-default-a
Score
плохо
пропущено важное поле

about

63%

about is missing in parser output

Файл
tg_683_Marat_Gudkov_Product_Manager.pdf
Кандидат
Marat Gudkov
Ожидали
Product Manager with 6+ years of experience across gaming and B2B SaaS, with strong expertise in product analytics. Specializes in driving growth by identifying and scaling 'Aha!' and activation moments, consistently increasing retention by more than 2%. Increased trial-to-paid conversion by 50% and retained approximately $50K in MRR by reducing churn and applying user segmentation. Built an A/B testing platform capable of comparing 10+ variants simultaneously, accelerating experimentation and reducing testing costs by 5x.
Получили
Модель
quality-comparator-default-a
Score
плохо
пропущено важное поле

education

63%

education is missing in parser output

Файл
tg_683_Marat_Gudkov_Product_Manager.pdf
Кандидат
Marat Gudkov
Ожидали
[{"degree":null,"end_year":null,"organization":"National University of Science and Technology MISIS (NUST MISIS)","specialization":"Technical Systems Management","start_year":2017}]
Получили
Модель
quality-comparator-default-a
Score
плохо
пропущено важное поле

languages

63%

languages are missing in parser output

Файл
tg_683_Marat_Gudkov_Product_Manager.pdf
Кандидат
Marat Gudkov
Ожидали
[{"lang":"Russian","level":"Native"},{"lang":"English","level":"C1"}]
Получили
Модель
quality-comparator-default-a
Score
плохо
пропущено важное поле

work_experience

63%

work_experience is missing in parser output

Файл
tg_683_Marat_Gudkov_Product_Manager.pdf
Кандидат
Marat Gudkov
Ожидали
[{"city":"Bangkok","company_name":"Manatal","description":"Global cloud ATS/CRM platform for recruitment teams across 135+ countries, used by 10,000+ hiring teams and competing with Workable and Recruitee. Implemented an automated churn outreach system, identified root causes of churn, and delivered Reporting and Automation features to production, retaining $50K MRR. Segmented users into 4 clusters using K-means analysis and optimized onboarding flows, increasing activation from 8% to 12%. Launched Enterprise Plus and monetization framework for advanced features, converting 10% of customers into higher-tier plans and increasing expansion revenue. Drove the decision to integrate a third-party multi-accounting protection solution instead of building an internal fraud prevention system, reducing development effort by 2 months. Conducted 100+ user interviews across discovery and validation phases, structuring qualitative insights and improving product decision-making.","end_date":"Jun 2024","position":"Product Manager","start_date":"Oct 2022","total_months":20},{"city":"Abu Dhabi","company_name":"Ubisoft","description":"Global AAA game studio developing large-scale live-service and mobile games. Implemented fingerprinting-based attribution after iOS ATT rollout, restoring visibility of 80% of previously untracked marketing traffic. Applied behavioral analysis using Retentioneering and SHAP values, validated user value hypotheses, and drove gameplay changes that increased Day 14 retention from 4% to 6%. Built an organic traffic uplift model using Youtube API, identified inefficient influencer marketing segments, and prevented an unprofitable strategy, saving ~$10K in spend. Analyzed real user device RAM distribution using web-scraped hardware data, reducing Out-of-Memory crash rate in the mobile client by 33%.","end_date":"Sep 2022","position":"Product Analyst","start_date":"May 2021","total_months":16},{"city":"Moscow","company_name":"Game Insight","description":"International mobile game publisher of free-to-play titles, similar to Rovio and Wooga. Developed a backend A/B testing platform based on a multi-armed bandit algorithm, enabling scalable experimentation and increasing Day 3 retention from 14% to 16% in a key live-service title. Developed personalized in-game offer algorithms using statistical and machine learning models, increasing purchase conversion by 2x across live-service games. Designed a Bayesian-based FUUU-factor model using PyMC3 to predict perceived difficulty from early player signals, reducing game balance tuning iterations to 2. Identified the 'Aha!' moment in a city-building simulator using machine learning and behavioral analysis, improving onboarding experience and increasing average session length by 2 minutes. Validated data integrity and improved logging quality across analytics systems, resolving 100+ data issues and increasing correctly logged events from 20% to 99%.","end_date":"May 2021","position":"Senior Product Analyst","start_date":"Aug 2017","total_months":46}]
Получили
Модель
quality-comparator-default-a
Score
плохо
пропущено важное поле

current_company

68%

current_company is missing in parser output.

Файл
tg_690_Alisha_Meier_Senior_Manual_QA_Engineer.pdf
Кандидат
Alisha Meier
Ожидали
Voiso
Получили
Модель
quality-comparator-default-a
Score
плохо
пропущено важное поле

about

68%

about is missing in parser output.

Файл
tg_690_Alisha_Meier_Senior_Manual_QA_Engineer.pdf
Кандидат
Alisha Meier
Ожидали
Senior Manual QA Engineer with over 4.5 years of experience and unique expertise in complex CRM integrations. Tested over 10 CRM systems from various vendors as the sole QA on the team, successfully delivered 32 epics with a 98% successful deployment rate, including large epics of 14-18 tasks, while closing critical security bugs within just 3 hours and identifying complex API issues that could have led to customer data loss. Uses AI tools to accelerate routine tasks, builds QA processes from scratch, and confidently takes on the most challenging emergency tasks.
Получили
Модель
quality-comparator-default-a
Score
плохо
пропущено важное поле

city

68%

city value is incorrect in parser output.

Файл
tg_690_Alisha_Meier_Senior_Manual_QA_Engineer.pdf
Кандидат
Alisha Meier
Ожидали
Da Nang
Получили
alisha-meier-qa
Модель
quality-comparator-default-a
Score
плохо
пропущено важное поле

education

68%

education is missing in parser output.

Файл
tg_690_Alisha_Meier_Senior_Manual_QA_Engineer.pdf
Кандидат
Alisha Meier
Ожидали
[{"degree":null,"end_year":2022,"organization":"Siberian State University of Telecommunications and Informatics","specialization":"Software Engineer","start_year":null}]
Получили
[]
Модель
quality-comparator-default-a
Score
плохо
пропущено важное поле

languages

68%

languages are missing in parser output.

Файл
tg_690_Alisha_Meier_Senior_Manual_QA_Engineer.pdf
Кандидат
Alisha Meier
Ожидали
[{"lang":"Russian","level":"Native"},{"lang":"English","level":"B2"}]
Получили
[]
Модель
quality-comparator-default-a
Score
плохо
пропущено важное поле

work_experience

68%

work_experience is missing in parser output.

Файл
tg_690_Alisha_Meier_Senior_Manual_QA_Engineer.pdf
Кандидат
Alisha Meier
Ожидали
[{"city":null,"company_name":"Voiso","description":"Led 32 epics as the sole QA on CRM integrations, achieving 98% successful deployments. Resolved a critical security bug within 3 hours, minimizing user risk. Identified and documented 24+ complex API bugs, preventing customer data loss. Implemented ChatGPT and Claude to generate test data, reducing test preparation time by 20%. Conducted comprehensive testing of a mobile PWA, ensuring stable production operation. Expanded the module's documentation and test suite, supporting high-quality releases.","end_date":"Apr 2026","position":"Senior QA Engineer","start_date":"Nov 2025","total_months":5},{"city":null,"company_name":null,"description":"Built a QA process for CRM integrations from scratch, establishing a comprehensive regression suite. Conducted end-to-end testing of integrations with 10+ CRM systems, ensuring product compatibility. Created 20+ detailed guides in Confluence, building a comprehensive knowledge base for CRM integrations. Regularly updated test cases and checklists, significantly increasing the module's test coverage. Led end-to-end testing of complex changes, taking full ownership with no top-down oversight.","end_date":"Nov 2025","position":"QA Engineer","start_date":"Nov 2023","total_months":24},{"city":null,"company_name":"VDcom","description":"Wrote and executed 150 test cases in two languages, delivering successful releases of three Sberbank products. Tested SQL-based data pipelines for Oracle/Hadoop, ensuring data integrity across the core platform. Created Jira bug reports, improving communication between four testers and seven developers. Managed release workflows using Git and Confluence, ensuring transparency of checklists and documentation.","end_date":"Jul 2023","position":"QA Engineer","start_date":"Oct 2022","total_months":9},{"city":null,"company_name":"Modulbank","description":"Conducted end-to-end testing of CRM and APIs to ensure product quality prior to release. Wrote 90+ test cases and executed a regression suite of 280+ cases, significantly boosting release stability. Ran SQL queries against PostgreSQL for validation, identifying backend bugs not visible in the UI.","end_date":"Sep 2022","position":"QA Engineer","start_date":"Nov 2021","total_months":10},{"city":null,"company_name":"NiDGE","description":"Built a QA process from scratch in three months as the first QA, implementing bug-tracking and reporting standards. Onboarded and mentored two junior QAs, successfully forming a functional QA team and transferring processes. Defined the testing strategy for web and mobile products, driving the transition from zero to a mature process.","end_date":"Oct 2023","position":"QA Engineer, QA Lead","start_date":"Aug 2023","total_months":2}]
Получили
[]
Модель
quality-comparator-default-a
Score
плохо
пропущено важное поле

city

89%

City is incorrectly parsed.

Файл
tg_696_Ekaterina_Novoselova_Chief_Data_and_Analytics_Officer.pdf
Кандидат
Ekaterina Novoselova
Ожидали
Almaty
Получили
Moscow
Модель
quality-comparator-default-a
Score
приемлемо
пропущено важное поле

country

89%

Country is incorrectly parsed.

Файл
tg_696_Ekaterina_Novoselova_Chief_Data_and_Analytics_Officer.pdf
Кандидат
Ekaterina Novoselova
Ожидали
Kazakhstan
Получили
Russia
Модель
quality-comparator-default-a
Score
приемлемо
пропущено важное поле

city

89%

Город указан неверно, в резюме указан Алматы.

Файл
tg_696_Ekaterina_Novoselova_Chief_Data_and_Analytics_Officer.pdf
Кандидат
Ekaterina Novoselova
Ожидали
Almaty
Получили
Moscow
Модель
quality-comparator-default-a
Score
приемлемо
пропущено важное поле

country

89%

Страна указана неверно, в резюме указана Казахстан.

Файл
tg_696_Ekaterina_Novoselova_Chief_Data_and_Analytics_Officer.pdf
Кандидат
Ekaterina Novoselova
Ожидали
Kazakhstan
Получили
Russia
Модель
quality-comparator-default-a
Score
приемлемо
пропущено важное поле

about

74%

Field is present in reference but missing in parser output.

Файл
tg_701_Amirov_Andrei_Senior_Data_Analyst.docx.pdf
Кандидат
Amirov Andrei
Ожидали
Senior Data Analyst with over 6 years of experience building commercial and product analytics. Created over 20 reports in Power BI, Tableau, and Superset, built a GMV forecasting model that improved planning accuracy by 25% while maintaining forecast precision above 85%, reduced churn by 5%, and grew the credit portfolio by 35%. Leads projects from zero to production in fast-paced FinTech and eCommerce environments, turning complex data into commercial results quickly and effectively.
Получили
Модель
quality-comparator-default-a
Score
приемлемо
пропущено важное поле

current_company

74%

Field is present in reference but missing in parser output.

Файл
tg_701_Amirov_Andrei_Senior_Data_Analyst.docx.pdf
Кандидат
Amirov Andrei
Ожидали
Alfa-Bank
Получили
Модель
quality-comparator-default-a
Score
приемлемо
пропущено важное поле

education

74%

Field is present in reference but missing in parser output.

Файл
tg_701_Amirov_Andrei_Senior_Data_Analyst.docx.pdf
Кандидат
Amirov Andrei
Ожидали
[{"degree":null,"end_year":2022,"organization":"HSE University","specialization":"Master's in Management, World Politics and World Economy","start_year":2020},{"degree":null,"end_year":2020,"organization":"MBS School of Business","specialization":"Master in Management","start_year":2019},{"degree":null,"end_year":2019,"organization":"HSE University","specialization":"Bachelor's in Economics, World Politics and World Economy","start_year":2015}]
Получили
Модель
quality-comparator-default-a
Score
приемлемо
пропущено важное поле

work_experience

74%

Field is present in reference but missing in parser output.

Файл
tg_701_Amirov_Andrei_Senior_Data_Analyst.docx.pdf
Кандидат
Amirov Andrei
Ожидали
[{"city":"Moscow","company_name":"Alfa-Bank","description":"Led a team of 4 analysts, setting KPIs and growing the department from 1 to 4 members. Ensured forecast accuracy of over 85%, providing data to C-level executives for decision-making on bids. Developed a GMV and commission profit forecasting model, improving business planning accuracy by 25%. Set up trigger systems to monitor customer churn, reducing churn by 5% and preserving billions in revenue. Integrated data models into weekly reports, delivering analytics to over 40 users. Established sprint processes for prioritization and backlog management, accelerating task completion by 30%. Conducted over 30 interviews and 20 technical assessments, participating in the hiring of analysts.","end_date":"to present","position":"Analytics Team Lead","start_date":"Jun 2025","total_months":null},{"city":null,"company_name":null,"description":"Built analytics from scratch in a new department, implementing dashboards and automation for data collection. Developed 6 Power BI dashboards, speeding up decision-making by 30% for over 70 users. Created 4 data marts, reducing reporting time by 3 hours per week. Automated partner bonus calculations, decreasing errors by 20% and implementing daily monitoring. Reorganized the dashboard structure and optimized SQL queries, reducing data processing time by 2 hours. Collaborated with 3 departments and over 20 stakeholders, revamping the department's management reporting.","end_date":"Jun 2025","position":"Senior Analyst","start_date":"Aug 2024","total_months":null},{"city":"Moscow","company_name":"T-Bank (ex. Tinkoff)","description":"Built a GMV seller forecast model, automating SME income projections with seasonal adjustments. Doubled data quality, leading to a 35% increase in the bank’s credit portfolio in monetary terms. Conducted A/B testing for marketing campaigns, increasing active clients by 7% and applications by 10%. Collaborated with product teams on non-financial services, reducing customer churn by 5%. Integrated data into market share reports, enabling daily monitoring of new loan issuance.","end_date":"Aug 2024","position":"Senior Analyst","start_date":"Nov 2022","total_months":null},{"city":"Moscow","company_name":"VTB","description":"Developed client retention initiatives using SQL, resulting in a 15% increase in commission revenue. Improved data accuracy and automated report generation, reducing presentation preparation time by 80%. Created 2 profit monitoring reports, providing analytics support to 15 account managers. Standardized the process for requirements and methodologies, minimizing operational errors.","end_date":"Sep 2022","position":"Data Analyst","start_date":"Mar 2022","total_months":null},{"city":"Moscow","company_name":"Ozon","description":"Prepared analytics for Black Friday, driving a 200% increase in total sales. Developed 3 Tableau dashboards, enabling unit economics analysis for 100+ users. Automated advertising revenue calculations using SQL, reducing reporting time by 4 hours per week. Documented all data collection processes from scratch, increasing reporting turnaround speed by 20%.","end_date":"Feb 2022","position":"Data Analyst","start_date":"Nov 2020","total_months":null}]
Получили
Модель
quality-comparator-default-a
Score
приемлемо
пропущено важное поле

languages

74%

Field is present in reference but missing in parser output.

Файл
tg_701_Amirov_Andrei_Senior_Data_Analyst.docx.pdf
Кандидат
Amirov Andrei
Ожидали
[{"lang":"Russian","level":"Native"},{"lang":"English","level":"C1"}]
Получили
Модель
quality-comparator-default-a
Score
приемлемо
пропущено важное поле

current_company

73%

Field is explicitly present in reference but missing in parser output.

Файл
tg_702_Daniel_Maiboroda_Data_Analyst.pdf
Кандидат
Daniel Maiboroda
Ожидали
Innotech
Получили
Модель
quality-comparator-default-a
Score
приемлемо
пропущено важное поле

about

73%

Field is explicitly present in reference but missing in parser output.

Файл
tg_702_Daniel_Maiboroda_Data_Analyst.pdf
Кандидат
Daniel Maiboroda
Ожидали
Data Analyst with 5 years of experience in FinTech, Banking, Payments, and regulatory analytics. Built a data quality monitoring system from scratch with 30+ PostgreSQL checks, resolved 500+ enterprise DWH incidents, and supported accurate reporting across 10+ payment systems. Translates complex data, business logic, and ETL flows into clear insights for faster, more reliable business decisions.
Получили
Модель
quality-comparator-default-a
Score
приемлемо
пропущено важное поле

work_experience

73%

Field is explicitly present in reference but missing in parser output.

Файл
tg_702_Daniel_Maiboroda_Data_Analyst.pdf
Кандидат
Daniel Maiboroda
Ожидали
[{"city":null,"company_name":"Innotech","description":"Audited data quality across 3 reporting data marts, identifying and documenting 15+ critical discrepancies affecting regulatory report launch. Created 10+ reusable SQL templates, reducing recurring analytics request processing time by 40%. Documented reporting data mart logic, simplifying knowledge transfer and onboarding for new analysts.","end_date":"to present","position":"Data Analyst","start_date":"Jan 2026","total_months":null},{"city":null,"company_name":"Innotech","description":"Ensured data quality during migration from a legacy DWH to a new banking data platform, expanding validation coverage across broader sources and entities. Designed an automated data quality monitoring system from scratch with 30+ PostgreSQL checks, replacing manual reconciliation with scheduled checks, dashboards, and alerts. Built reconciliation dashboards for management and cross-functional teams, improving visibility into critical discrepancies. Optimized SQL validation queries, reducing recurring check execution time. Trained a new team member on SQL checks and incident analysis, accelerating onboarding. Developed process documentation and guidelines, standardizing incident investigation and discrepancy analysis.","end_date":"Dec 2025","position":"Data Analyst","start_date":"Feb 2024","total_months":22},{"city":null,"company_name":null,"description":"Monitored VTB’s enterprise DWH data quality across transactional, client, and payment data, improving reporting reliability. Resolved 500+ data quality incidents across multiple DWH systems, improving response time and SLA performance. Analyzed ETL pipeline anomalies and escalated issues to engineering teams, supporting root-cause investigation. Standardized incident monitoring from detection to closure, improving transparency and processing speed. Automated recurring SQL checks with dashboard uploads, eliminating manual validation activities.","end_date":"Feb 2024","position":"Data Analyst","start_date":"Jan 2023","total_months":13},{"city":null,"company_name":"QIWI","description":"Reconciled financial data across 10+ payment systems, ensuring accurate regulatory reporting and reducing audit discrepancy risks. Corrected SQL logic issues in financial reporting workflows, improving data accuracy for compliance reporting. Automated recurring SQL and Excel reports, reducing manual effort by 30-40% and accelerating reporting cycles. Participated in designing and testing audit data marts, improving analytics access and reporting consistency.","end_date":"Dec 2022","position":"Data Analyst","start_date":"Oct 2021","total_months":14}]
Получили
Модель
quality-comparator-default-a
Score
приемлемо
пропущено важное поле

education

73%

Field is explicitly present in reference but missing in parser output.

Файл
tg_702_Daniel_Maiboroda_Data_Analyst.pdf
Кандидат
Daniel Maiboroda
Ожидали
[{"degree":"Bachelor’s Degree","end_year":2021,"organization":"Moscow Aviation Institute (National Research University)","specialization":"Electronics Engineering","start_year":null}]
Получили
Модель
quality-comparator-default-a
Score
приемлемо
неверное значение

country

73%

Country value is incorrect.

Файл
tg_702_Daniel_Maiboroda_Data_Analyst.pdf
Кандидат
Daniel Maiboroda
Ожидали
USA
Получили
Russia
Модель
quality-comparator-default-a
Score
приемлемо
неверное значение

social_media

73%

Social media field contains an additional URL that is not present in the reference.

Файл
tg_702_Daniel_Maiboroda_Data_Analyst.pdf
Кандидат
Daniel Maiboroda
Ожидали
["linkedin.com/in/dmaiboroda/"]
Получили
["linkedin.com/in/dmaiboroda/", "https://www.linkedin.com/in/dmaiboroda/"]
Модель
quality-comparator-default-a
Score
приемлемо
пропущено важное поле

country

80%

Country is incorrect.

Файл
resume_019.pdf
Кандидат
Susan Armstrong
Ожидали
Hawaii
Получили
Germany
Модель
quality-comparator-default-a
Score
приемлемо
пропущено важное поле

skills

80%

Skills list is incorrect and includes irrelevant entries.

Файл
resume_019.pdf
Кандидат
Susan Armstrong
Ожидали
[...] (all skills from reference)
Получили
[...] (parser has additional and incorrect skills)
Модель
quality-comparator-default-a
Score
приемлемо
пропущено важное поле

total_experience_months

80%

Total experience months is significantly overstated.

Файл
resume_019.pdf
Кандидат
Susan Armstrong
Ожидали
72
Получили
120
Модель
quality-comparator-default-a
Score
приемлемо
пропущено важное поле

work_experience

80%

Work experience contains incorrect positions and descriptions.

Файл
resume_019.pdf
Кандидат
Susan Armstrong
Ожидали
[...] (all work experience from reference)
Получили
[...] (parser has incorrect positions and descriptions)
Модель
quality-comparator-default-a
Score
приемлемо
пропущено важное поле

country

80%

Country is incorrect.

Файл
resume_019.pdf
Кандидат
Susan Armstrong
Ожидали
Hawaii
Получили
Germany
Модель
quality-comparator-default-a
Score
приемлемо
пропущено важное поле

skills

80%

Skills are incomplete and include irrelevant entries.

Файл
resume_019.pdf
Кандидат
Susan Armstrong
Ожидали
[...] (list of skills from reference)
Получили
[...] (list of skills from parser)
Модель
quality-comparator-default-a
Score
приемлемо
пропущено важное поле

total_experience_months

80%

Total experience months is significantly higher than expected.

Файл
resume_019.pdf
Кандидат
Susan Armstrong
Ожидали
72
Получили
103
Модель
quality-comparator-default-a
Score
приемлемо
пропущено важное поле

work_experience

80%

Work experience entries are incorrect and contain placeholders.

Файл
resume_019.pdf
Кандидат
Susan Armstrong
Ожидали
[...] (list of work experience from reference)
Получили
[...] (list of work experience from parser)
Модель
quality-comparator-default-a
Score
приемлемо
пропущено важное поле

country

80%

Страна указана неверно.

Файл
resume_019.pdf
Кандидат
Susan Armstrong
Ожидали
Hawaii
Получили
USA
Модель
quality-comparator-default-a
Score
приемлемо
пропущено важное поле

skills

80%

Некоторые навыки отсутствуют или заменены на обобщенные.

Файл
resume_019.pdf
Кандидат
Susan Armstrong
Ожидали
[Список навыков из резюме]
Получили
[Список навыков с ошибками]
Модель
quality-comparator-default-a
Score
приемлемо
пропущено важное поле

total_experience_months

80%

Общий опыт работы рассчитан неверно.

Файл
resume_019.pdf
Кандидат
Susan Armstrong
Ожидали
72
Получили
96
Модель
quality-comparator-default-a
Score
приемлемо
пропущено важное поле

work_experience

80%

Некоторые записи о работе содержат ошибки или отсутствуют.

Файл
resume_019.pdf
Кандидат
Susan Armstrong
Ожидали
[Список опыта работы из резюме]
Получили
[Список опыта с ошибками]
Модель
quality-comparator-default-a
Score
приемлемо
пропущено важное поле

country

85%

Parser provided an incorrect country.

Файл
resume_020.pdf
Кандидат
Paul Ross
Ожидали
United Kingdom
Получили
USA
Модель
quality-comparator-default-a
Score
приемлемо
пропущено важное поле

total_experience_months

85%

Parser calculated total experience incorrectly.

Файл
resume_020.pdf
Кандидат
Paul Ross
Ожидали
60
Получили
126
Модель
quality-comparator-default-a
Score
приемлемо
пропущено важное поле

country

85%

Country is incorrect.

Файл
resume_020.pdf
Кандидат
Paul Ross
Ожидали
United Kingdom
Получили
USA
Модель
quality-comparator-default-a
Score
приемлемо
пропущено важное поле

education

85%

Education entries are missing.

Файл
resume_020.pdf
Кандидат
Paul Ross
Ожидали
5 education entries
Получили
2 education entries
Модель
quality-comparator-default-a
Score
приемлемо
пропущено важное поле

about

85%

Содержимое поля 'about' превышает ожидаемую длину и добавляет лишнюю информацию.

Файл
resume_026.pdf
Кандидат
Виссарион Ларионов
Ожидали
Lead Data Engineer с синтетическим опытом в направлении software engineering.
Получили
Lead Data Engineer с синтетическим опытом в направлении software engineering. • Нацелен на улучшение процессов в компании и прозрачную отчетность по результатам. • Умею работать в режиме многозадачности и сохранять качество результата при сжатых сроках. • Обладаю логическим мышлением, усидчивостью и вниманием к деталям. • Есть опыт взаимодействия с разными отделами и подготовки инструкций для сотрудников. • Активен, нацелен на результат и открыт к обучению и развитию в профессиональной области.
Модель
quality-comparator-default-a
Score
приемлемо
пропущено важное поле

expected_salary

85%

Ожидаемая зарплата указана в резюме, но отсутствует в парсере.

Файл
resume_026.pdf
Кандидат
Виссарион Ларионов
Ожидали
217 000
Получили
Модель
quality-comparator-default-a
Score
приемлемо
пропущено важное поле

work_experience

85%

Опыт работы указан в резюме, но отсутствует в парсере.

Файл
resume_026.pdf
Кандидат
Виссарион Ларионов
Ожидали
Список с опытом работы
Получили
Модель
quality-comparator-default-a
Score
приемлемо
пропущено важное поле

expected_salary

85%

Ожидаемая зарплата указана в резюме, но отсутствует у парсера.

Файл
resume_031.pdf
Кандидат
Агата Мухина
Ожидали
199 000
Получили
Модель
quality-comparator-default-a
Score
приемлемо
пропущено важное поле

work_experience

85%

Опыт работы указан в резюме, но отсутствует у парсера.

Файл
resume_031.pdf
Кандидат
Агата Мухина
Ожидали
не пусто
Получили
Модель
quality-comparator-default-a
Score
приемлемо
пропущено важное поле

languages

85%

Языки указаны в резюме, но отсутствуют у парсера.

Файл
resume_031.pdf
Кандидат
Агата Мухина
Ожидали
не пусто
Получили
Модель
quality-comparator-default-a
Score
приемлемо
пропущено важное поле

country

85%

Country is incorrect.

Файл
resume_035.pdf
Кандидат
Евдокия Морозова
Ожидали
Россия
Получили
Кыргызстан
Модель
quality-comparator-default-a
Score
приемлемо
пропущено важное поле

current_company

85%

Current company is missing.

Файл
resume_035.pdf
Кандидат
Евдокия Морозова
Ожидали
Finora Labs
Получили
[ИМЯ]
Модель
quality-comparator-default-a
Score
приемлемо
пропущено важное поле

expected_salary

85%

Expected salary is missing.

Файл
resume_035.pdf
Кандидат
Евдокия Морозова
Ожидали
232 000
Получили
Модель
quality-comparator-default-a
Score
приемлемо
пропущено важное поле

expected_salary

85%

Ожидаемая зарплата отсутствует.

Файл
resume_042.pdf
Кандидат
Радислав Дементьев
Ожидали
362 000
Получили
Модель
quality-comparator-default-a
Score
приемлемо
неверное значение

about

85%

Содержимое поля не соответствует ожидаемому.

Файл
resume_042.pdf
Кандидат
Радислав Дементьев
Ожидали
Операционный менеджер с синтетическим опытом в направлении operations.
Получили
• Есть опыт взаимодействия с разными отделами и подготовки инструкций для сотрудников. • Умею находить нестандартные подходы к решению задач и генерировать новые идеи. • Активен, нацелен на результат и открыт к обучению и развитию в профессиональной области. • Ответственно выполняю трудовые обязанности и дополнительные поручения руководителя. • Коммуникабельный, умею работать в команде и договариваться со смежными отделами.
Модель
quality-comparator-default-a
Score
приемлемо
неверное значение

total_experience_months

85%

Общий опыт работы значительно превышает ожидаемое значение.

Файл
resume_042.pdf
Кандидат
Радислав Дементьев
Ожидали
60
Получили
126
Модель
quality-comparator-default-a
Score
приемлемо
пропущено важное поле

total_experience_months

89%

Общий опыт работы превышает ожидаемое значение.

Файл
resume_044.pdf
Кандидат
Парфен Дмитриев
Ожидали
120
Получили
132
Модель
quality-comparator-default-a
Score
приемлемо
пропущено важное поле

expected_salary

89%

Ожидаемая зарплата отсутствует.

Файл
resume_044.pdf
Кандидат
Парфен Дмитриев
Ожидали
260 000
Получили
Модель
quality-comparator-default-a
Score
приемлемо
неверное значение

about

89%

Содержит дополнительные предложения, не указанные в reference.

Файл
resume_044.pdf
Кандидат
Парфен Дмитриев
Ожидали
Junior Инженер-программист с синтетическим опытом в направлении software engineering.
Получили
Junior Инженер-программист с синтетическим опытом в направлении software engineering. • Умею находить нестандартные подходы к решению задач и генерировать новые идеи. • Есть опыт взаимодействия с разными отделами и подготовки инструкций для сотрудников. • Нацелен на улучшение процессов в компании и прозрачную отчетность по результатам. • Активен, нацелен на результат и открыт к обучению и развитию в профессиональной области.
Модель
quality-comparator-default-a
Score
приемлемо
пропущено важное поле

total_experience_months

85%

Parser calculated total experience incorrectly, exceeding the expected value.

Файл
resume_052.pdf
Кандидат
Shawn Martinez
Ожидали
72
Получили
108
Модель
quality-comparator-default-a
Score
приемлемо
пропущено важное поле

work_experience

85%

Parser provided incorrect work experience details, including incorrect dates and total months.

Файл
resume_052.pdf
Кандидат
Shawn Martinez
Ожидали
[{"city": null, "company_name": "Northline Systems", "description": "Owned software engineering responsibilities for a synthetic business unit.; Improved reporting and collaboration using MS Office and CI/CD.", "end_date": "present", "position": "Data Engineer", "start_date": "01.2020", "total_months": null}, {"city": null, "company_name": "Northline Systems", "description": "Led cross-functional initiatives with measurable operational impact.; Prepared weekly status updates, documentation, and stakeholder summaries.", "end_date": "12.2019", "position": "Software Engineer", "start_date": "01.2017", "total_months": null}, {"city": null, "company_name": "Brightmark Digital", "description": "Led cross-functional initiatives with measurable operational impact.; Prepared weekly status updates, documentation, and stakeholder summaries.", "end_date": "12.2018", "position": "Backend Developer", "start_date": "02.2016", "total_months": null}, {"city": null, "company_name": "Mosaic Retail Group", "description": "Led cross-functional initiatives with measurable operational impact.; Prepared weekly status updates, documentation, and stakeholder summaries.", "end_date": "12.2017", "position": "Data Engineer", "start_date": "03.2015", "total_months": null}, {"city": null, "company_name": "Brightmark Digital", "description": "Led cross-functional initiatives with measurable operational impact.; Prepared weekly status updates, documentation, and stakeholder summaries.", "end_date": "12.2016", "position": "Data Engineer", "start_date": "04.2014", "total_months": null}, {"city": null, "company_name": "Atlas Medical Services", "description": "Led cross-functional initiatives with measurable operational impact.; Prepared weekly status updates, documentation, and stakeholder summaries.", "end_date": "12.2015", "position": "Software Engineer", "start_date": "05.2013", "total_months": null}]
Получили
[{"city": null, "company_name": "Northline Systems", "description": "Owned software engineering responsibilities for a synthetic business unit. Improved reporting and collaboration using MS Office and CI/CD. Coordinated cross-functional work and documented measurable outcomes.", "end_date": null, "position": "Data Engineer", "start_date": "2020-01", "total_months": 45}, {"city": null, "company_name": "Northline Systems", "description": "Led cross-functional initiatives with measurable operational impact. Prepared weekly status updates, documentation, and stakeholder summaries. Improved repeatable team processes using MS Office.", "end_date": "2019-12", "position": "Software Engineer", "start_date": "2017-01", "total_months": 36}, {"city": null, "company_name": "Brightmark Digital", "description": "Led cross-functional initiatives with measurable operational impact. Prepared weekly status updates, documentation, and stakeholder summaries. Improved repeatable team processes using MS Office.", "end_date": "2018-12", "position": "Backend Developer", "start_date": "2016-02", "total_months": 34}, {"city": null, "company_name": "Mosaic Retail Group", "description": "Led cross-functional initiatives with measurable operational impact. Prepared weekly status updates, documentation, and stakeholder summaries. Improved repeatable team processes using MS Office.", "end_date": "2017-12", "position": "Data Engineer", "start_date": "2015-03", "total_months": 34}, {"city": null, "company_name": "Brightmark Digital", "description": "Led cross-functional initiatives with measurable operational impact. Prepared weekly status updates, documentation, and stakeholder summaries. Improved repeatable team processes using MS Office.", "end_date": "2016-12", "position": "Data Engineer", "start_date": "2014-04", "total_months": 32}, {"city": null, "company_name": "Atlas Medical Services", "description": "Led cross-functional initiatives with measurable operational impact. Prepared weekly status updates, documentation, and stakeholder summaries. Improved repeatable team processes using MS Office.", "end_date": "2015-12", "position": "Software Engineer", "start_date": "2013-05", "total_months": 31}]
Модель
quality-comparator-default-a
Score
приемлемо
пропущено важное поле

about

85%

Содержимое поля отличается от ожидаемого.

Файл
resume_054.pdf
Кандидат
Юлия Ефимова
Ожидали
Manager HR-специалист с синтетическим опытом в направлении hr.
Получили
• Умею находить нестандартные подходы к решению задач и генерировать новые идеи. • Активен, нацелен на результат и открыт к обучению и развитию в профессиональной области. • Обладаю логическим мышлением, усидчивостью и вниманием к деталям. • Умею работать в режиме многозадачности и сохранять качество результата при сжатых сроках.
Модель
quality-comparator-default-a
Score
приемлемо
пропущено важное поле

total_experience_months

85%

Общий опыт работы значительно превышает ожидаемое значение.

Файл
resume_054.pdf
Кандидат
Юлия Ефимова
Ожидали
72
Получили
298
Модель
quality-comparator-default-a
Score
приемлемо
пропущено важное поле

about

85%

Описание не соответствует ожиданиям.

Файл
resume_054.pdf
Кандидат
Юлия Ефимова
Ожидали
Manager HR-специалист с синтетическим опытом в направлении hr.
Получили
• Умею находить нестандартные подходы к решению задач и генерировать новые идеи. • Активен, нацелен на результат и открыт к обучению и развитию в профессиональной области. • Обладаю логическим мышлением, усидчивостью и вниманием к деталям. • Умею работать в режиме многозадачности и сохранять качество результата при сжатых сроках.
Модель
quality-comparator-default-a
Score
приемлемо
пропущено важное поле

total_experience_months

85%

Общий опыт работы значительно превышает указанный в резюме.

Файл
resume_054.pdf
Кандидат
Юлия Ефимова
Ожидали
72
Получили
115
Модель
quality-comparator-default-a
Score
приемлемо
пропущено важное поле

about

85%

About section is completely different from the reference.

Файл
resume_054.pdf
Кандидат
Юлия Ефимова
Ожидали
Manager HR-специалист с синтетическим опытом в направлении hr.
Получили
• Умею находить нестандартные подходы к решению задач и генерировать новые идеи. • Активен, нацелен на результат и открыт к обучению и развитию в профессиональной области. • Обладаю логическим мышлением, усидчивостью и вниманием к деталям. • Умею работать в режиме многозадачности и сохранять качество результата при сжатых сроках.
Модель
quality-comparator-default-a
Score
приемлемо
пропущено важное поле

total_experience_months

85%

Total experience months is significantly higher than expected.

Файл
resume_054.pdf
Кандидат
Юлия Ефимова
Ожидали
72
Получили
114
Модель
quality-comparator-default-a
Score
приемлемо
пропущено важное поле

about

85%

Описание не соответствует оригиналу.

Файл
resume_054.pdf
Кандидат
Юлия Ефимова
Ожидали
Manager HR-специалист с синтетическим опытом в направлении hr.
Получили
• Умею находить нестандартные подходы к решению задач и генерировать новые идеи. • Активен, нацелен на результат и открыт к обучению и развитию в профессиональной области. • Обладаю логическим мышлением, усидчивостью и вниманием к деталям. • Умею работать в режиме многозадачности и сохранять качество результата при сжатых сроках.
Модель
quality-comparator-default-a
Score
приемлемо
пропущено важное поле

total_experience_months

85%

Общий опыт работы рассчитан неверно.

Файл
resume_054.pdf
Кандидат
Юлия Ефимова
Ожидали
72
Получили
108
Модель
quality-comparator-default-a
Score
приемлемо
пропущено важное поле

social_media

80%

social_media отсутствует в parser_fields, хотя есть в reference

Файл
resume_056.pdf
Кандидат
Мечислав Чернов
Ожидали
["https://portfolio.synthetic.example/056", "https://linkedin.synthetic.example/in/056"]
Получили
Модель
quality-comparator-default-a
Score
приемлемо
пропущено важное поле

work_experience

80%

work_experience отсутствует в parser_fields, хотя есть в reference

Файл
resume_056.pdf
Кандидат
Мечислав Чернов
Ожидали
[{"city": null, "company_name": "Clearstep Logistics", "description": "Вел(а) задачи роли Финансовый аналитик для синтетического бизнес-направления.; Улучшил(а) отчетность и взаимодействие команд с помощью Публичные выступления и Training materials.", "end_date": null, "position": "Финансовый аналитик", "start_date": "01.2020", "total_months": 45}, {"city": null, "company_name": "Northline Systems", "description": "Вел(а) кросс-функциональные инициативы с измеримым операционным эффектом.; Готовил(а) еженедельные статусы, документацию и сводки для руководителей.", "end_date": "12.2019", "position": "Финансовый менеджер", "start_date": "01.2017", "total_months": 36}, {"city": null, "company_name": "Brightmark Digital", "description": "Вел(а) кросс-функциональные инициативы с измеримым операционным эффектом.; Готовил(а) еженедельные статусы, документацию и сводки для руководителей.", "end_date": "12.2018", "position": "Финансовый аналитик", "start_date": "02.2016", "total_months": 34}, {"city": null, "company_name": "Mosaic Retail Group", "description": "Вел(а) кросс-функциональные инициативы с измеримым операционным эффектом.; Готовил(а) еженедельные статусы, документацию и сводки для руководителей.", "end_date": "12.2017", "position": "Бухгалтер", "start_date": "03.2015", "total_months": 34}, {"city": null, "company_name": "Mosaic Retail Group", "description": "Вел(а) кросс-функциональные инициативы с измеримым операционным эффектом.; Готовил(а) еженедельные статусы, документацию и сводки для руководителей.", "end_date": "12.2016", "position": "Финансовый аналитик", "start_date": "04.2014", "total_months": 32}, {"city": null, "company_name": "Northline Systems", "description": "Вел(а) кросс-функциональные инициативы с измеримым операционным эффектом.; Готовил(а) еженедельные статусы, документацию и сводки для руководителей.", "end_date": "12.2015", "position": "Финансовый менеджер", "start_date": "05.2013", "total_months": 31}, {"city": null, "company_name": "Atlas Medical Services", "description": "Вел(а) кросс-функциональные инициативы с измеримым операционным эффектом.; Готовил(а) еженедельные статусы, документацию и сводки для руководителей.", "end_date": "12.2014", "position": "Бухгалтер", "start_date": "06.2012", "total_months": 30}, {"city": null, "company_name": "Brightmark Digital", "description": "Вел(а) кросс-функциональные инициативы с измеримым операционным эффектом.; Готовил(а) еженедельные статусы, документацию и сводки для руководителей.", "end_date": "12.2013", "position": "Финансовый менеджер", "start_date": "07.2011", "total_months": 30}]
Получили
Модель
quality-comparator-default-a
Score
приемлемо
неверное значение

education[2].degree

80%

Отсутствует степень для онлайн-курса

Файл
resume_056.pdf
Кандидат
Мечислав Чернов
Ожидали
Онлайн-курс
Получили
Модель
quality-comparator-default-a
Score
приемлемо
неверное значение

education[4].degree

80%

Отсутствует степень для курсов повышения квалификации

Файл
resume_056.pdf
Кандидат
Мечислав Чернов
Ожидали
Курсы повышения квалификации
Получили
Модель
quality-comparator-default-a
Score
приемлемо
неверное значение

languages

80%

Отсутствуют языки, указанные в reference

Файл
resume_056.pdf
Кандидат
Мечислав Чернов
Ожидали
[{"lang": "Spanish", "level": "intermediate"}, {"lang": "German", "level": "intermediate"}, {"lang": "Kazakh", "level": "basic"}, {"lang": "English", "level": "upper-intermediate"}, {"lang": "Russian", "level": "native"}, {"lang": "Chinese", "level": "basic"}, {"lang": "Turkish", "level": "basic"}]
Получили
[{"lang": "Turkish", "level": "basic"}]
Модель
quality-comparator-default-a
Score
приемлемо
Время Score Файл Поле Ошибка Ожидали Получили Модель проверки Действие
2026-05-28 10:37:45 68% плохо tg_660_Alexander_Tarasenko_Tech_Lead.pdf Alexander Tarasenko run_ccba942640e24425ae727cbd8cd01593 artifacts city пропущено важное поле critical_misses

City is incorrectly parsed.

Tbilisi

Saint Petersburg

quality-comparator-default-a openai/gpt-4o-mini
2026-05-28 10:37:45 68% плохо tg_660_Alexander_Tarasenko_Tech_Lead.pdf Alexander Tarasenko run_ccba942640e24425ae727cbd8cd01593 artifacts country пропущено важное поле critical_misses

Country is incorrectly parsed.

UAE

Russia

quality-comparator-default-a openai/gpt-4o-mini
2026-05-28 10:37:45 68% плохо tg_660_Alexander_Tarasenko_Tech_Lead.pdf Alexander Tarasenko run_ccba942640e24425ae727cbd8cd01593 artifacts current_company пропущено важное поле critical_misses

Current company is missing.

Cypher Capital

quality-comparator-default-a openai/gpt-4o-mini
2026-05-28 10:37:45 68% плохо tg_660_Alexander_Tarasenko_Tech_Lead.pdf Alexander Tarasenko run_ccba942640e24425ae727cbd8cd01593 artifacts about пропущено важное поле critical_misses

About section is missing.

Tech Lead with over 10 years of experience building high-performance backend and integration platforms in C#/.NET. Launched MVPs from scratch and delivered scalable distributed systems to stable production, including real-time pipelines handling 500+ RPS with p99.95 < 400 ms and reducing data-loss incidents by 90%. Led cross-functional teams, established CI/CD and observability practices, and improved reliability and engineering standards. Strong in system architecture, event-driven design, and building production-ready solutions under real user load.

quality-comparator-default-a openai/gpt-4o-mini
2026-05-28 10:37:45 68% плохо tg_660_Alexander_Tarasenko_Tech_Lead.pdf Alexander Tarasenko run_ccba942640e24425ae727cbd8cd01593 artifacts work_experience пропущено важное поле critical_misses

Work experience is missing.

[{"city":"Dubai","company_name":"Cypher Capital","description":"Web3 investment firm focused on blockchain, digital assets, and early-stage crypto products.","end_date":"Oct 2025","position":"Tech Lead","start_date":"Nov 2024","total_months":12},{"city":"Nevada","company_name":"Sweed","description":"Retail software platform for cannabis dispensaries, covering POS, eCommerce, inventory, and payments.","end_date":"Nov 2024","position":"Tech Lead","start_date":"Jul 2023","total_months":16},{"city":"Saint Petersburg","company_name":"Ozon","description":"Russian e-commerce marketplace and digital platform, similar to Amazon.","end_date":"Jun 2023","position":"Senior Software Engineer","start_date":"Sep 2021","total_months":22},{"city":"Vladivostok","company_name":"Siemens Finance","description":"Russian equipment finance and leasing company, similar to BNP Paribas Leasing Solutions.","end_date":"Aug 2021","position":"Software Engineer","start_date":"Apr 2019","total_months":28},{"city":"Vladivostok","company_name":"Izumrud","description":"Russian manufacturer of marine electronics and other complex electronic systems, similar to Kongsberg Maritime.","end_date":"Mar 2019","position":"Software Engineer","start_date":"Dec 2015","total_months":40}]

quality-comparator-default-a openai/gpt-4o-mini
2026-05-28 10:37:45 68% плохо tg_660_Alexander_Tarasenko_Tech_Lead.pdf Alexander Tarasenko run_ccba942640e24425ae727cbd8cd01593 artifacts languages пропущено важное поле critical_misses

Languages section is missing.

[{"lang":"Russian","level":"Native"},{"lang":"English","level":"C1"}]

quality-comparator-default-a openai/gpt-4o-mini
2026-05-28 10:37:16 89% приемлемо tg_660_Alexander_Tarasenko_Tech_Lead.pdf Alexander Tarasenko run_069a37ee4386435c95692b5fe3a5867d artifacts city пропущено важное поле critical_misses

City is incorrectly parsed.

Tbilisi

Saint Petersburg

quality-comparator-default-a openai/gpt-4o-mini
2026-05-28 10:37:16 89% приемлемо tg_660_Alexander_Tarasenko_Tech_Lead.pdf Alexander Tarasenko run_069a37ee4386435c95692b5fe3a5867d artifacts country пропущено важное поле critical_misses

Country is incorrectly parsed.

UAE

Russia

quality-comparator-default-a openai/gpt-4o-mini
2026-05-28 10:36:41 84% приемлемо tg_660_Alexander_Tarasenko_Tech_Lead.pdf Alexander Tarasenko run_b0b5a154c48f4d2e9203378098fd8563 artifacts city пропущено важное поле critical_misses

City is explicitly mentioned in the reference but is missing in parser output.

Tbilisi

Saint Petersburg

quality-comparator-default-a openai/gpt-4o-mini
2026-05-28 10:36:41 84% приемлемо tg_660_Alexander_Tarasenko_Tech_Lead.pdf Alexander Tarasenko run_b0b5a154c48f4d2e9203378098fd8563 artifacts country пропущено важное поле critical_misses

Country is explicitly mentioned in the reference but is missing in parser output.

UAE

Russia

quality-comparator-default-a openai/gpt-4o-mini
2026-05-28 10:36:41 84% приемлемо tg_660_Alexander_Tarasenko_Tech_Lead.pdf Alexander Tarasenko run_b0b5a154c48f4d2e9203378098fd8563 artifacts current_company пропущено важное поле critical_misses

Current company is explicitly mentioned in the reference but is missing in parser output.

Cypher Capital

Sweed

quality-comparator-default-a openai/gpt-4o-mini
2026-05-28 10:21:39 89% приемлемо tg_666_Aniskov_Head_of_Mobile_Engineering.pdf Roman Aniskov run_291fc737fdc64de6bdf731ebcbf0f937 artifacts city пропущено важное поле critical_misses

City is incorrectly parsed.

Belgrade

Moscow

quality-comparator-default-a openai/gpt-4o-mini
2026-05-28 10:21:39 89% приемлемо tg_666_Aniskov_Head_of_Mobile_Engineering.pdf Roman Aniskov run_291fc737fdc64de6bdf731ebcbf0f937 artifacts country пропущено важное поле critical_misses

Country is incorrectly parsed.

Serbia

Russia

quality-comparator-default-a openai/gpt-4o-mini
2026-05-28 10:21:09 89% приемлемо tg_666_Aniskov_Head_of_Mobile_Engineering.pdf Roman Aniskov run_65321c673cce41838506e44701677072 artifacts city пропущено важное поле critical_misses

City is incorrectly parsed.

Belgrade

Moscow

quality-comparator-default-a openai/gpt-4o-mini
2026-05-28 10:21:09 89% приемлемо tg_666_Aniskov_Head_of_Mobile_Engineering.pdf Roman Aniskov run_65321c673cce41838506e44701677072 artifacts country пропущено важное поле critical_misses

Country is incorrectly parsed.

Serbia

Russia

quality-comparator-default-a openai/gpt-4o-mini
2026-05-28 10:19:42 89% приемлемо tg_667_Irina_Zasenko_Data_Analyst.pdf Irina Zasenko run_e251b9c4b93a4d82bc40f30d4f0e52c1 artifacts city пропущено важное поле critical_misses

City is incorrectly parsed.

Dusseldorf

Moscow

quality-comparator-default-a openai/gpt-4o-mini
2026-05-28 10:19:42 89% приемлемо tg_667_Irina_Zasenko_Data_Analyst.pdf Irina Zasenko run_e251b9c4b93a4d82bc40f30d4f0e52c1 artifacts country пропущено важное поле critical_misses

Country is incorrectly parsed.

Germany

Russia

quality-comparator-default-a openai/gpt-4o-mini
2026-05-28 10:19:11 79% приемлемо tg_667_Irina_Zasenko_Data_Analyst.pdf Irina Zasenko run_000f450c6b9d47948d460afde68bd660 artifacts current_company пропущено важное поле critical_misses

Отсутствует текущее место работы.

Sauerland-Tourismus e.V.

quality-comparator-default-a openai/gpt-4o-mini
2026-05-28 10:19:11 79% приемлемо tg_667_Irina_Zasenko_Data_Analyst.pdf Irina Zasenko run_000f450c6b9d47948d460afde68bd660 artifacts city пропущено важное поле critical_misses

Город не соответствует ожидаемому.

Dusseldorf

Moscow

quality-comparator-default-a openai/gpt-4o-mini
2026-05-28 10:19:11 79% приемлемо tg_667_Irina_Zasenko_Data_Analyst.pdf Irina Zasenko run_000f450c6b9d47948d460afde68bd660 artifacts country пропущено важное поле critical_misses

Страна не соответствует ожидаемой.

Germany

Russia

quality-comparator-default-a openai/gpt-4o-mini
2026-05-28 10:19:11 79% приемлемо tg_667_Irina_Zasenko_Data_Analyst.pdf Irina Zasenko run_000f450c6b9d47948d460afde68bd660 artifacts work_experience пропущено важное поле critical_misses

Отсутствует информация о рабочем опыте.

Список с опытом работы

quality-comparator-default-a openai/gpt-4o-mini
2026-05-28 10:18:36 89% приемлемо tg_667_Irina_Zasenko_Data_Analyst.pdf Irina Zasenko run_35e0dd4a5eb8437595d5fcb220e47619 artifacts city пропущено важное поле critical_misses

City is incorrectly parsed.

Dusseldorf

Moscow

quality-comparator-default-a openai/gpt-4o-mini
2026-05-28 10:18:36 89% приемлемо tg_667_Irina_Zasenko_Data_Analyst.pdf Irina Zasenko run_35e0dd4a5eb8437595d5fcb220e47619 artifacts country пропущено важное поле critical_misses

Country is incorrectly parsed.

Germany

Russia

quality-comparator-default-a openai/gpt-4o-mini
2026-05-28 10:16:52 89% приемлемо tg_668_Михаил_Ледин_Chief_Technology_Officer.pdf Михаил Ледин run_653e41a71de349b0a3329e8be2ad869f artifacts current_company пропущено важное поле critical_misses

Текущая компания указана с лишней информацией о городе и стране.

Алгоритмика

Алгоритмика, Москва, Россия

quality-comparator-default-a openai/gpt-4o-mini
2026-05-28 10:16:52 89% приемлемо tg_668_Михаил_Ледин_Chief_Technology_Officer.pdf Михаил Ледин run_653e41a71de349b0a3329e8be2ad869f artifacts education[0].organization ошибка формата format_errors

Формат названия учебного заведения нарушен из-за добавления лишней информации.

МГТУ им. Н. Э. Баумана

МГТУ им. Н. Э. Баумана · Москва ·

quality-comparator-default-a openai/gpt-4o-mini
2026-05-28 10:15:24 89% приемлемо tg_668_Михаил_Ледин_Chief_Technology_Officer.pdf Михаил Ледин run_8779ce172d094d1484d6c03b61b3fade artifacts current_company пропущено важное поле critical_misses

Текущая компания указана с избыточной информацией.

Алгоритмика

Алгоритмика, Москва, Россия

quality-comparator-default-a openai/gpt-4o-mini
2026-05-28 10:15:24 89% приемлемо tg_668_Михаил_Ледин_Chief_Technology_Officer.pdf Михаил Ледин run_8779ce172d094d1484d6c03b61b3fade artifacts education ошибка формата format_errors

Некоторые записи в образовании содержат избыточные или неверные данные.

Список объектов education с корректными данными.

Некоторые записи имеют некорректные значения.

quality-comparator-default-a openai/gpt-4o-mini
2026-05-28 10:13:38 89% приемлемо tg_669_Ilia_Lopukhov_Creative_Director.pdf Ilia Lopukhov run_22808a64fe38497a8e95d1c53460dda7 artifacts city пропущено важное поле critical_misses

City is incorrectly parsed.

Bali

Moscow

quality-comparator-default-a openai/gpt-4o-mini
2026-05-28 10:13:38 89% приемлемо tg_669_Ilia_Lopukhov_Creative_Director.pdf Ilia Lopukhov run_22808a64fe38497a8e95d1c53460dda7 artifacts current_company пропущено важное поле critical_misses

Current company is incorrectly parsed.

Realweb Digital Agency

DiceWillDecide

quality-comparator-default-a openai/gpt-4o-mini
2026-05-28 10:13:07 89% приемлемо tg_669_Ilia_Lopukhov_Creative_Director.pdf Ilia Lopukhov run_7d9f966391f84cc3b4f330f4cab8bb92 artifacts city пропущено важное поле critical_misses

City is incorrectly parsed.

Bali

Moscow

quality-comparator-default-a openai/gpt-4o-mini
2026-05-28 10:13:07 89% приемлемо tg_669_Ilia_Lopukhov_Creative_Director.pdf Ilia Lopukhov run_7d9f966391f84cc3b4f330f4cab8bb92 artifacts country неверное значение wrong_values

Country is incorrectly parsed.

Indonesia

Russia

quality-comparator-default-a openai/gpt-4o-mini
2026-05-28 10:12:30 89% приемлемо tg_669_Ilia_Lopukhov_Creative_Director.pdf Ilia Lopukhov run_a14e404844634db38662eba84643d048 artifacts city пропущено важное поле critical_misses

City is explicitly mentioned in the reference but is missing in parser output.

Bali

Moscow

quality-comparator-default-a openai/gpt-4o-mini
2026-05-28 10:12:30 89% приемлемо tg_669_Ilia_Lopukhov_Creative_Director.pdf Ilia Lopukhov run_a14e404844634db38662eba84643d048 artifacts current_company пропущено важное поле critical_misses

Current company is explicitly mentioned in the reference but is missing in parser output.

Realweb Digital Agency

DiceWillDecide

quality-comparator-default-a openai/gpt-4o-mini
2026-05-28 10:10:30 89% приемлемо tg_670_Tatiana_Sedova_Technology_Business_Partner.pdf Tatiana Sedova run_698fdcc76c3f40ca9609e937484ad329 artifacts city пропущено важное поле critical_misses

City is incorrectly parsed.

Dubai

Moscow

quality-comparator-default-a openai/gpt-4o-mini
2026-05-28 10:10:30 89% приемлемо tg_670_Tatiana_Sedova_Technology_Business_Partner.pdf Tatiana Sedova run_698fdcc76c3f40ca9609e937484ad329 artifacts country пропущено важное поле critical_misses

Country is incorrectly parsed.

UAE

Russia

quality-comparator-default-a openai/gpt-4o-mini
2026-05-28 10:09:51 89% приемлемо tg_670_Tatiana_Sedova_Technology_Business_Partner.pdf Tatiana Sedova run_0c96313a08104ac7a55537e9c83bf4ed artifacts city пропущено важное поле critical_misses

City is incorrectly parsed.

Dubai

Moscow

quality-comparator-default-a openai/gpt-4o-mini
2026-05-28 10:09:51 89% приемлемо tg_670_Tatiana_Sedova_Technology_Business_Partner.pdf Tatiana Sedova run_0c96313a08104ac7a55537e9c83bf4ed artifacts country пропущено важное поле critical_misses

Country is incorrectly parsed.

UAE

Russia

quality-comparator-default-a openai/gpt-4o-mini
2026-05-28 10:08:30 89% приемлемо tg_670_Tatiana_Sedova_Technology_Business_Partner.pdf Tatiana Sedova run_9ffc7e98b1ed470eb3cf62461a471955 artifacts city пропущено важное поле critical_misses

Город указан неверно, в резюме указано 'Dubai', а в парсере 'Moscow'.

Dubai

Moscow

quality-comparator-default-a openai/gpt-4o-mini
2026-05-28 10:08:30 89% приемлемо tg_670_Tatiana_Sedova_Technology_Business_Partner.pdf Tatiana Sedova run_9ffc7e98b1ed470eb3cf62461a471955 artifacts country пропущено важное поле critical_misses

Страна указана неверно, в резюме указано 'UAE', а в парсере 'Russia'.

UAE

Russia

quality-comparator-default-a openai/gpt-4o-mini
2026-05-28 10:00:33 76% приемлемо tg_676_Iana_Nazarova_Operations_Manager.pdf Iana Nazarova run_f2f4891649064f369e3ec8542aaa0074 artifacts current_company пропущено важное поле critical_misses

Field is explicitly present in reference but missing in parser output.

Indeed LLC (Axidian)

quality-comparator-default-a openai/gpt-4o-mini
2026-05-28 10:00:33 76% приемлемо tg_676_Iana_Nazarova_Operations_Manager.pdf Iana Nazarova run_f2f4891649064f369e3ec8542aaa0074 artifacts about пропущено важное поле critical_misses

Field is explicitly present in reference but missing in parser output.

Operations Manager with 7 years of experience improving delivery, planning, and operating effectiveness across product and engineering teams. Built company-wide OKR, financial planning, and performance review rhythms across 6 departments and 700-800 employees, reduced cycle time from 77 to 50 days, and established stable on-time releases after repeated delays. Strong in clarifying ownership, aligning teams, and making execution more predictable.

quality-comparator-default-a openai/gpt-4o-mini
2026-05-28 10:00:33 76% приемлемо tg_676_Iana_Nazarova_Operations_Manager.pdf Iana Nazarova run_f2f4891649064f369e3ec8542aaa0074 artifacts city пропущено важное поле critical_misses

Field value is incorrect; parser output does not match reference.

Bilbao

yana-nazarova

quality-comparator-default-a openai/gpt-4o-mini
2026-05-28 10:00:33 76% приемлемо tg_676_Iana_Nazarova_Operations_Manager.pdf Iana Nazarova run_f2f4891649064f369e3ec8542aaa0074 artifacts work_experience пропущено важное поле critical_misses

Field is explicitly present in reference but missing in parser output.

Array of work experience entries

quality-comparator-default-a openai/gpt-4o-mini
2026-05-28 10:00:33 76% приемлемо tg_676_Iana_Nazarova_Operations_Manager.pdf Iana Nazarova run_f2f4891649064f369e3ec8542aaa0074 artifacts education[0].degree неверное значение wrong_values

Degree field is missing in parser output.

Bachelor’s Degree

quality-comparator-default-a openai/gpt-4o-mini
2026-05-28 10:00:33 76% приемлемо tg_676_Iana_Nazarova_Operations_Manager.pdf Iana Nazarova run_f2f4891649064f369e3ec8542aaa0074 artifacts education[0].specialization неверное значение wrong_values

Specialization field contains additional, unnecessary information.

Applied Informatics

Bachelor’s Degree, Applied Informatics, Russia

quality-comparator-default-a openai/gpt-4o-mini
2026-05-28 09:54:13 84% приемлемо tg_678_Nadezhda_Martemyanova_Head_of_Internal_Communications.pdf Nadezhda Martemyanova run_4e48bf8e5d614e7ab8df601e016a3f26 artifacts about пропущено важное поле critical_misses

Field is missing in parser output.

Head of Internal Communications with 12+ years of experience in internal and corporate communications within IT and B2B environments. Built and scaled internal communications and event functions from scratch, owning full P&L responsibility with budgets exceeding 100M RUB and driving end-to-end delivery of complex, cross-functional programs. Delivered over 300 events across 7 countries, including large-scale initiatives with budgets above 120M RUB under high-pressure timelines and operational constraints. Streamlined and automated 7+ core business processes, increasing operational efficiency by more than 40%.

quality-comparator-default-a openai/gpt-4o-mini
2026-05-28 09:54:13 84% приемлемо tg_678_Nadezhda_Martemyanova_Head_of_Internal_Communications.pdf Nadezhda Martemyanova run_4e48bf8e5d614e7ab8df601e016a3f26 artifacts work_experience пропущено важное поле critical_misses

Field is missing in parser output.

[{"city": "Moscow", "company_name": "F-PRO", "description": "Event and marketing agency delivering large-scale public and cultural projects, including city-wide festivals and government-backed initiatives, comparable to Eventim Live.", "end_date": "Dec 2025", "position": "Project Manager", "start_date": "Apr 2025", "total_months": 8}, {"city": "Moscow", "company_name": "GlowByte Consulting", "description": "IT consulting company specializing in data analytics, BI, and digital transformation for enterprise clients across multiple industries, comparable to Accenture.", "end_date": "Nov 2024", "position": "Head of Internal Communications and Events", "start_date": "Mar 2020", "total_months": 56}, {"city": null, "company_name": null, "description": null, "end_date": "Mar 2020", "position": "Marketing and Communications Manager", "start_date": "Jan 2018", "total_months": 26}, {"city": "Moscow", "company_name": "Dell EMC", "description": "Global enterprise technology company providing cloud infrastructure, data storage, and IT solutions for large corporate and public-sector clients, comparable to IBM.", "end_date": "Mar 2017", "position": "Marketing Specialist", "start_date": "Feb 2014", "total_months": 37}, {"city": "Moscow", "company_name": "TSUM (Central Department Store)", "description": "Major luxury retail department store in Eastern Europe, operating a premium fashion and lifestyle retail ecosystem.", "end_date": "Apr 2026", "position": "Head of Events", "start_date": "Jan 2026", "total_months": 3}]

quality-comparator-default-a openai/gpt-4o-mini
2026-05-28 09:54:13 84% приемлемо tg_678_Nadezhda_Martemyanova_Head_of_Internal_Communications.pdf Nadezhda Martemyanova run_4e48bf8e5d614e7ab8df601e016a3f26 artifacts languages пропущено важное поле critical_misses

Field is missing in parser output.

[{"lang": "Russian", "level": "Native"}, {"lang": "English", "level": "C1"}, {"lang": "Spanish", "level": "B1"}]

quality-comparator-default-a openai/gpt-4o-mini
2026-05-28 09:50:39 84% приемлемо tg_679_Aleksandra_Kolesnikova_Head_of_Product.pdf Aleksandra Kolesnikova run_3dd24e25b9e644b8b22d0cc4855b453f artifacts city пропущено важное поле critical_misses

City is explicitly mentioned in the reference but is incorrect in parser output.

Remote

Yekaterinburg

quality-comparator-default-a openai/gpt-4o-mini
2026-05-28 09:50:39 84% приемлемо tg_679_Aleksandra_Kolesnikova_Head_of_Product.pdf Aleksandra Kolesnikova run_3dd24e25b9e644b8b22d0cc4855b453f artifacts country пропущено важное поле critical_misses

Country is explicitly mentioned in the reference but is incorrect in parser output.

USA

Russia

quality-comparator-default-a openai/gpt-4o-mini
2026-05-28 09:50:39 84% приемлемо tg_679_Aleksandra_Kolesnikova_Head_of_Product.pdf Aleksandra Kolesnikova run_3dd24e25b9e644b8b22d0cc4855b453f artifacts total_experience_months пропущено важное поле critical_misses

Total experience months calculated incorrectly in parser output.

84

120

quality-comparator-default-a openai/gpt-4o-mini
2026-05-28 09:41:25 74% приемлемо tg_682_Aleksey_Titarenko_Strategic_Customer_Success_Manager.pdf Aleksey Titarenko run_fe739c0996af4e58b135af2bdfa9c4fe artifacts city пропущено важное поле critical_misses

City is incorrectly parsed.

Västerås

Moscow

quality-comparator-default-a openai/gpt-4o-mini
2026-05-28 09:41:25 74% приемлемо tg_682_Aleksey_Titarenko_Strategic_Customer_Success_Manager.pdf Aleksey Titarenko run_fe739c0996af4e58b135af2bdfa9c4fe artifacts country пропущено важное поле critical_misses

Country is incorrectly parsed.

Sweden

Russia

quality-comparator-default-a openai/gpt-4o-mini
2026-05-28 09:41:25 74% приемлемо tg_682_Aleksey_Titarenko_Strategic_Customer_Success_Manager.pdf Aleksey Titarenko run_fe739c0996af4e58b135af2bdfa9c4fe artifacts current_company пропущено важное поле critical_misses

Current company is missing.

Ailet

quality-comparator-default-a openai/gpt-4o-mini
2026-05-28 09:41:25 74% приемлемо tg_682_Aleksey_Titarenko_Strategic_Customer_Success_Manager.pdf Aleksey Titarenko run_fe739c0996af4e58b135af2bdfa9c4fe artifacts about пропущено важное поле critical_misses

About section is missing.

Strategic Customer Success Manager with over 9 years of experience managing enterprise accounts and driving retention, expansion, and revenue growth across SaaS, e-commerce, mobility, and market intelligence. Delivered 96% retention across a RUB 90.5M ARR portfolio, scaled a key account from RUB 5.8M to RUB 12.3M ARR, and preserved RUB 23M in annual revenue during competitive tenders. Trusted to stabilize at-risk accounts, lead complex client situations, and convert customer needs into measurable commercial growth.

quality-comparator-default-a openai/gpt-4o-mini
2026-05-28 09:41:25 74% приемлемо tg_682_Aleksey_Titarenko_Strategic_Customer_Success_Manager.pdf Aleksey Titarenko run_fe739c0996af4e58b135af2bdfa9c4fe artifacts work_experience пропущено важное поле critical_misses

Work experience is missing.

Array of work experience objects

quality-comparator-default-a openai/gpt-4o-mini
2026-05-28 09:40:54 89% приемлемо tg_682_Aleksey_Titarenko_Strategic_Customer_Success_Manager.pdf Aleksey Titarenko run_d12e35862d4547579899c4f66ea95f4a artifacts city пропущено важное поле critical_misses

City is incorrectly parsed.

Västerås

Moscow

quality-comparator-default-a openai/gpt-4o-mini
2026-05-28 09:40:54 89% приемлемо tg_682_Aleksey_Titarenko_Strategic_Customer_Success_Manager.pdf Aleksey Titarenko run_d12e35862d4547579899c4f66ea95f4a artifacts country пропущено важное поле critical_misses

Country is incorrectly parsed.

Sweden

Russia

quality-comparator-default-a openai/gpt-4o-mini
2026-05-28 09:40:07 89% приемлемо tg_682_Aleksey_Titarenko_Strategic_Customer_Success_Manager.pdf Aleksey Titarenko run_2202bba979864bf8acb6156760bf2a03 artifacts city пропущено важное поле critical_misses

Город указан неверно, в резюме указано 'Västerås', а в парсере 'Moscow'.

Västerås

Moscow

quality-comparator-default-a openai/gpt-4o-mini
2026-05-28 09:40:07 89% приемлемо tg_682_Aleksey_Titarenko_Strategic_Customer_Success_Manager.pdf Aleksey Titarenko run_2202bba979864bf8acb6156760bf2a03 artifacts country пропущено важное поле critical_misses

Страна указана неверно, в резюме указана 'Sweden', а в парсере 'Russia'.

Sweden

Russia

quality-comparator-default-a openai/gpt-4o-mini
2026-05-28 09:38:01 84% приемлемо tg_683_Marat_Gudkov_Product_Manager.pdf Marat Gudkov run_a036ce9e8d39451f802347546d60c365 artifacts city пропущено важное поле critical_misses

City is incorrectly parsed.

Chiang Mai

Moscow

quality-comparator-default-a openai/gpt-4o-mini
2026-05-28 09:38:01 84% приемлемо tg_683_Marat_Gudkov_Product_Manager.pdf Marat Gudkov run_a036ce9e8d39451f802347546d60c365 artifacts country пропущено важное поле critical_misses

Country is incorrectly parsed.

Thailand

Russia

quality-comparator-default-a openai/gpt-4o-mini
2026-05-28 09:38:01 84% приемлемо tg_683_Marat_Gudkov_Product_Manager.pdf Marat Gudkov run_a036ce9e8d39451f802347546d60c365 artifacts current_company пропущено важное поле critical_misses

Current company is missing.

Manatal

Yield Guarden

quality-comparator-default-a openai/gpt-4o-mini
2026-05-28 09:37:24 84% приемлемо tg_683_Marat_Gudkov_Product_Manager.pdf Marat Gudkov run_5f7c8cac3f0148e3be0e5116edfc86a0 artifacts city пропущено важное поле critical_misses

City is incorrectly parsed.

Chiang Mai

Moscow

quality-comparator-default-a openai/gpt-4o-mini
2026-05-28 09:37:24 84% приемлемо tg_683_Marat_Gudkov_Product_Manager.pdf Marat Gudkov run_5f7c8cac3f0148e3be0e5116edfc86a0 artifacts country пропущено важное поле critical_misses

Country is incorrectly parsed.

Thailand

Russia

quality-comparator-default-a openai/gpt-4o-mini
2026-05-28 09:37:24 84% приемлемо tg_683_Marat_Gudkov_Product_Manager.pdf Marat Gudkov run_5f7c8cac3f0148e3be0e5116edfc86a0 artifacts current_company пропущено важное поле critical_misses

Current company is incorrectly parsed.

Manatal

Yield Guarden

quality-comparator-default-a openai/gpt-4o-mini
2026-05-28 09:36:46 89% приемлемо tg_683_Marat_Gudkov_Product_Manager.pdf Marat Gudkov run_04f5c6a9dad240c9b1620a0b63d67f4f artifacts city пропущено важное поле critical_misses

City is incorrectly parsed.

Chiang Mai

Moscow

quality-comparator-default-a openai/gpt-4o-mini
2026-05-28 09:36:46 89% приемлемо tg_683_Marat_Gudkov_Product_Manager.pdf Marat Gudkov run_04f5c6a9dad240c9b1620a0b63d67f4f artifacts country пропущено важное поле critical_misses

Country is incorrectly parsed.

Thailand

Russia

quality-comparator-default-a openai/gpt-4o-mini
2026-05-28 09:31:31 74% приемлемо tg_685_Mariia_Koroleva_Senior_IT_Business_Analyst.pdf Mariia Koroleva run_5f8916d010914c37969db0a5f3925d7c artifacts city пропущено важное поле critical_misses

City is incorrectly parsed.

Baku

Moscow

quality-comparator-default-a openai/gpt-4o-mini
2026-05-28 09:31:31 74% приемлемо tg_685_Mariia_Koroleva_Senior_IT_Business_Analyst.pdf Mariia Koroleva run_5f8916d010914c37969db0a5f3925d7c artifacts country пропущено важное поле critical_misses

Country is incorrectly parsed.

Azerbaijan

Russia

quality-comparator-default-a openai/gpt-4o-mini
2026-05-28 09:31:31 74% приемлемо tg_685_Mariia_Koroleva_Senior_IT_Business_Analyst.pdf Mariia Koroleva run_5f8916d010914c37969db0a5f3925d7c artifacts current_company пропущено важное поле critical_misses

Current company is missing.

Guavalab

quality-comparator-default-a openai/gpt-4o-mini
2026-05-28 09:31:31 74% приемлемо tg_685_Mariia_Koroleva_Senior_IT_Business_Analyst.pdf Mariia Koroleva run_5f8916d010914c37969db0a5f3925d7c artifacts work_experience пропущено важное поле critical_misses

Work experience is missing.

Work experience is missing.

quality-comparator-default-a openai/gpt-4o-mini
2026-05-28 09:31:31 74% приемлемо tg_685_Mariia_Koroleva_Senior_IT_Business_Analyst.pdf Mariia Koroleva run_5f8916d010914c37969db0a5f3925d7c artifacts languages пропущено важное поле critical_misses

Languages are missing.

[{"lang": "Russian", "level": "Native"}, {"lang": "English", "level": "B2"}, {"lang": "German", "level": "A1"}]

quality-comparator-default-a openai/gpt-4o-mini
2026-05-28 09:30:53 84% приемлемо tg_685_Mariia_Koroleva_Senior_IT_Business_Analyst.pdf Mariia Koroleva run_9dd6f8d8f3f341d1b7223d2e5e40f667 artifacts city пропущено важное поле critical_misses

City is incorrectly parsed.

Baku

Moscow

quality-comparator-default-a openai/gpt-4o-mini
2026-05-28 09:30:53 84% приемлемо tg_685_Mariia_Koroleva_Senior_IT_Business_Analyst.pdf Mariia Koroleva run_9dd6f8d8f3f341d1b7223d2e5e40f667 artifacts country пропущено важное поле critical_misses

Country is incorrectly parsed.

Azerbaijan

Russia

quality-comparator-default-a openai/gpt-4o-mini
2026-05-28 09:30:53 84% приемлемо tg_685_Mariia_Koroleva_Senior_IT_Business_Analyst.pdf Mariia Koroleva run_9dd6f8d8f3f341d1b7223d2e5e40f667 artifacts education пропущено важное поле critical_misses

Education entries are incorrectly parsed and contain additional irrelevant information.

[{"degree":"Bachelor’s Degree","end_year":2007,"organization":"Dubna State University","specialization":"Software for Computer Facilities and Automated Systems"},{"degree":"Bachelor’s Degree","end_year":2007,"organization":"Dubna State University","specialization":"Finance and Credit"}]

[{"degree":"Bachelor’s Degree","end_year":2007,"organization":"Dubna State University","specialization":"Bachelor’s Degree, Software for Computer Facilities and Automated Systems, Russia"},{"degree":null,"end_year":2025,"organization":"Ivan Zamesin","specialization":"How to Build a Product"},{"degree":null,"end_year":2021,"organization":"SmartArchitects","specialization":"TOGAF: Practice of Use"},{"degree":null,"end_year":2017,"organization":"American Express","specialization":"Beginning Chargeback and Dispute Training"},{"degree":null,"end_year":2015,"organization":"MasterCard Academy","specialization":"Clearing Workshop"},{"degree":"Certificate","end_year":null,"organization":"Certificates","specialization":"●​"},{"degree":null,"end_year":2007,"organization":"Dubna State University","specialization":"Bachelor’s Degree, Software for Computer Facilities and Automated Systems, Russia"},{"degree":null,"end_year":2007,"organization":"Dubna State University","specialization":"Bachelor’s Degree, Finance and Credit, Russia"}]

quality-comparator-default-a openai/gpt-4o-mini
2026-05-28 09:30:09 89% приемлемо tg_685_Mariia_Koroleva_Senior_IT_Business_Analyst.pdf Mariia Koroleva run_8db47ab3467742c886038757e97b6bca artifacts city пропущено важное поле critical_misses

Город не соответствует ожидаемому значению из резюме.

Baku

Moscow

quality-comparator-default-a openai/gpt-4o-mini
2026-05-28 09:30:09 89% приемлемо tg_685_Mariia_Koroleva_Senior_IT_Business_Analyst.pdf Mariia Koroleva run_8db47ab3467742c886038757e97b6bca artifacts country пропущено важное поле critical_misses

Страна не соответствует ожидаемому значению из резюме.

Azerbaijan

Russia

quality-comparator-default-a openai/gpt-4o-mini
2026-05-28 09:21:12 68% плохо tg_688_Roman_Okonenko_Senior_Legal_Counsel.docx.pdf Roman Okonenko run_4d7ed686850846569cff859291f2bfe1 artifacts current_company пропущено важное поле critical_misses

current_company is missing in parser output

GetsMine

quality-comparator-default-a openai/gpt-4o-mini
2026-05-28 09:21:12 68% плохо tg_688_Roman_Okonenko_Senior_Legal_Counsel.docx.pdf Roman Okonenko run_4d7ed686850846569cff859291f2bfe1 artifacts about пропущено важное поле critical_misses

about is missing in parser output

Senior Legal Counsel with 15 years of experience across fintech, crypto, payments, SaaS, and digital products. Built legal frameworks from scratch for international businesses, enabling US market entry and first contracts worth $1M+. Drafted 50+ commercial agreements across SaaS and payment processing, reducing contract-related claims by 40%. Combines in-house and judicial experience, identifying risk early and translating it into clear contract structures and scalable legal processes.

quality-comparator-default-a openai/gpt-4o-mini
2026-05-28 09:21:12 68% плохо tg_688_Roman_Okonenko_Senior_Legal_Counsel.docx.pdf Roman Okonenko run_4d7ed686850846569cff859291f2bfe1 artifacts city пропущено важное поле critical_misses

city is incorrect in parser output

Tbilisi

Moscow

quality-comparator-default-a openai/gpt-4o-mini
2026-05-28 09:21:12 68% плохо tg_688_Roman_Okonenko_Senior_Legal_Counsel.docx.pdf Roman Okonenko run_4d7ed686850846569cff859291f2bfe1 artifacts country пропущено важное поле critical_misses

country is incorrect in parser output

Georgia

Russia

quality-comparator-default-a openai/gpt-4o-mini
2026-05-28 09:21:12 68% плохо tg_688_Roman_Okonenko_Senior_Legal_Counsel.docx.pdf Roman Okonenko run_4d7ed686850846569cff859291f2bfe1 artifacts work_experience пропущено важное поле critical_misses

work_experience is missing in parser output

work experience is missing in parser output

quality-comparator-default-a openai/gpt-4o-mini
2026-05-28 09:21:12 68% плохо tg_688_Roman_Okonenko_Senior_Legal_Counsel.docx.pdf Roman Okonenko run_4d7ed686850846569cff859291f2bfe1 artifacts languages пропущено важное поле critical_misses

languages are missing in parser output

[{"lang": "Russian", "level": "Native"}, {"lang": "English", "level": "C1"}]

quality-comparator-default-a openai/gpt-4o-mini
2026-05-28 09:20:38 89% приемлемо tg_688_Roman_Okonenko_Senior_Legal_Counsel.docx.pdf Roman Okonenko run_2eb0814a7926423da378ff5513f08610 artifacts city пропущено важное поле critical_misses

City is incorrectly parsed.

Tbilisi

Moscow

quality-comparator-default-a openai/gpt-4o-mini
2026-05-28 09:20:38 89% приемлемо tg_688_Roman_Okonenko_Senior_Legal_Counsel.docx.pdf Roman Okonenko run_2eb0814a7926423da378ff5513f08610 artifacts country пропущено важное поле critical_misses

Country is incorrectly parsed.

Georgia

Russia

quality-comparator-default-a openai/gpt-4o-mini
2026-05-28 09:18:53 89% приемлемо tg_688_Roman_Okonenko_Senior_Legal_Counsel.docx.pdf Roman Okonenko run_204687fa4efa48e5b196e737170cb894 artifacts city пропущено важное поле critical_misses

City is incorrectly parsed.

Tbilisi

Moscow

quality-comparator-default-a openai/gpt-4o-mini
2026-05-28 09:18:53 89% приемлемо tg_688_Roman_Okonenko_Senior_Legal_Counsel.docx.pdf Roman Okonenko run_204687fa4efa48e5b196e737170cb894 artifacts country пропущено важное поле critical_misses

Country is incorrectly parsed.

Georgia

Russia

quality-comparator-default-a openai/gpt-4o-mini
2026-05-28 09:16:38 89% приемлемо tg_689_Veronika_Zhemchuzhnikova_Senior_Analyst.pdf Veronika Zhemchuzhnikova run_b6ec99db0a464e31b51bfe3a622cd846 artifacts work_experience пропущено важное поле critical_misses

Work experience is missing in parser output.

Array of work experience entries

[]

quality-comparator-default-a openai/gpt-4o-mini
2026-05-28 09:16:38 89% приемлемо tg_689_Veronika_Zhemchuzhnikova_Senior_Analyst.pdf Veronika Zhemchuzhnikova run_b6ec99db0a464e31b51bfe3a622cd846 artifacts languages пропущено важное поле critical_misses

Languages are missing in parser output.

Array of languages with levels

[]

quality-comparator-default-a openai/gpt-4o-mini
2026-05-28 09:16:38 89% приемлемо tg_689_Veronika_Zhemchuzhnikova_Senior_Analyst.pdf Veronika Zhemchuzhnikova run_b6ec99db0a464e31b51bfe3a622cd846 artifacts education[0].specialization неверное значение wrong_values

Extra information added to specialization.

Bachelor’s Degree in Economics

Bachelor’s Degree in Economics, Russia

quality-comparator-default-a openai/gpt-4o-mini
2026-05-28 09:16:38 89% приемлемо tg_689_Veronika_Zhemchuzhnikova_Senior_Analyst.pdf Veronika Zhemchuzhnikova run_b6ec99db0a464e31b51bfe3a622cd846 artifacts education[1].specialization неверное значение wrong_values

Extra information added to specialization.

Master’s Degree in State Audit (Higher School of State Audit)

Master’s Degree in State Audit (Higher School of State Audit), Russia

quality-comparator-default-a openai/gpt-4o-mini
2026-05-28 09:16:38 89% приемлемо tg_689_Veronika_Zhemchuzhnikova_Senior_Analyst.pdf Veronika Zhemchuzhnikova run_b6ec99db0a464e31b51bfe3a622cd846 artifacts education[2].specialization неверное значение wrong_values

Specialization format is incorrect; missing main title.

MBA in Finance

in Finance, Russia

quality-comparator-default-a openai/gpt-4o-mini
2026-05-28 09:13:40 74% приемлемо tg_690_Alisha_Meier_Senior_Manual_QA_Engineer.pdf Alisha Meier run_dc3ada71e54e4fa6894d5ff8ddbf366d artifacts current_company пропущено важное поле critical_misses

current_company is missing in parser output.

Voiso

quality-comparator-default-a openai/gpt-4o-mini
2026-05-28 09:13:40 74% приемлемо tg_690_Alisha_Meier_Senior_Manual_QA_Engineer.pdf Alisha Meier run_dc3ada71e54e4fa6894d5ff8ddbf366d artifacts about пропущено важное поле critical_misses

about is missing in parser output.

Senior Manual QA Engineer with over 4.5 years of experience and unique expertise in complex CRM integrations...

quality-comparator-default-a openai/gpt-4o-mini
2026-05-28 09:13:40 74% приемлемо tg_690_Alisha_Meier_Senior_Manual_QA_Engineer.pdf Alisha Meier run_dc3ada71e54e4fa6894d5ff8ddbf366d artifacts city пропущено важное поле critical_misses

city is incorrectly parsed as social media handle.

Da Nang

alisha-meier-qa

quality-comparator-default-a openai/gpt-4o-mini
2026-05-28 09:13:40 74% приемлемо tg_690_Alisha_Meier_Senior_Manual_QA_Engineer.pdf Alisha Meier run_dc3ada71e54e4fa6894d5ff8ddbf366d artifacts work_experience пропущено важное поле critical_misses

work_experience is missing in parser output.

List of work experiences

quality-comparator-default-a openai/gpt-4o-mini
2026-05-28 09:13:40 74% приемлемо tg_690_Alisha_Meier_Senior_Manual_QA_Engineer.pdf Alisha Meier run_dc3ada71e54e4fa6894d5ff8ddbf366d artifacts languages пропущено важное поле critical_misses

languages are missing in parser output.

[{"lang": "Russian", "level": "Native"}, {"lang": "English", "level": "B2"}]

quality-comparator-default-a openai/gpt-4o-mini
2026-05-28 09:11:49 79% приемлемо tg_690_Alisha_Meier_Senior_Manual_QA_Engineer.pdf Alisha Meier run_fd7537466812482282f4cd47916b4909 artifacts about пропущено важное поле critical_misses

Field is missing in parser output.

Senior Manual QA Engineer with over 4.5 years of experience and unique expertise in complex CRM integrations. Tested over 10 CRM systems from various vendors as the sole QA on the team, successfully delivered 32 epics with a 98% successful deployment rate, including large epics of 14-18 tasks, while closing critical security bugs within just 3 hours and identifying complex API issues that could have led to customer data loss. Uses AI tools to accelerate routine tasks, builds QA processes from scratch, and confidently takes on the most challenging emergency tasks.

quality-comparator-default-a openai/gpt-4o-mini
2026-05-28 09:11:49 79% приемлемо tg_690_Alisha_Meier_Senior_Manual_QA_Engineer.pdf Alisha Meier run_fd7537466812482282f4cd47916b4909 artifacts city пропущено важное поле critical_misses

Incorrect value for city.

Da Nang

alisha-meier-qa

quality-comparator-default-a openai/gpt-4o-mini
2026-05-28 09:11:49 79% приемлемо tg_690_Alisha_Meier_Senior_Manual_QA_Engineer.pdf Alisha Meier run_fd7537466812482282f4cd47916b4909 artifacts work_experience пропущено важное поле critical_misses

Field is missing in parser output.

Array of work experience entries

quality-comparator-default-a openai/gpt-4o-mini
2026-05-28 09:11:49 79% приемлемо tg_690_Alisha_Meier_Senior_Manual_QA_Engineer.pdf Alisha Meier run_fd7537466812482282f4cd47916b4909 artifacts languages пропущено важное поле critical_misses

Field is missing in parser output.

[{"lang": "Russian", "level": "Native"}, {"lang": "English", "level": "B2"}]

quality-comparator-default-a openai/gpt-4o-mini
2026-05-28 09:01:09 74% приемлемо tg_694_Alexander_Sklyarenko_Senior_Data_Analyst.pdf Alexander Sklyarenko run_d84ef85471aa46a48821e1c3ff02b484 artifacts current_company пропущено важное поле critical_misses

Field is explicitly present in reference but missing in parser output.

AK Bars Bank

quality-comparator-default-a openai/gpt-4o-mini
2026-05-28 09:01:09 74% приемлемо tg_694_Alexander_Sklyarenko_Senior_Data_Analyst.pdf Alexander Sklyarenko run_d84ef85471aa46a48821e1c3ff02b484 artifacts about пропущено важное поле critical_misses

Field is explicitly present in reference but missing in parser output.

Senior Data Analyst with over 4 years in fintech and banking, specializing in IFRS 9/IRB reserving and large-scale warehouse migrations from Teradata to Spark and Hadoop. Led a 4-junior team to migrate a financial portfolio in 3 months, delivering what the internal team had only 10% completed in six months, earned a 30% budget uplift, and corrected miscalculations that freed tens of millions of dollars in loan loss provisions. Mentors juniors, collaborates with business stakeholders, and fixes errors that protect companies from regulatory fines.

quality-comparator-default-a openai/gpt-4o-mini
2026-05-28 09:01:09 74% приемлемо tg_694_Alexander_Sklyarenko_Senior_Data_Analyst.pdf Alexander Sklyarenko run_d84ef85471aa46a48821e1c3ff02b484 artifacts total_experience_months пропущено важное поле critical_misses

Field is explicitly present in reference but missing in parser output.

34

0

quality-comparator-default-a openai/gpt-4o-mini
2026-05-28 09:01:09 74% приемлемо tg_694_Alexander_Sklyarenko_Senior_Data_Analyst.pdf Alexander Sklyarenko run_d84ef85471aa46a48821e1c3ff02b484 artifacts work_experience пропущено важное поле critical_misses

Field is explicitly present in reference but missing in parser output.

List of work experiences

quality-comparator-default-a openai/gpt-4o-mini
2026-05-28 09:01:09 74% приемлемо tg_694_Alexander_Sklyarenko_Senior_Data_Analyst.pdf Alexander Sklyarenko run_d84ef85471aa46a48821e1c3ff02b484 artifacts languages пропущено важное поле critical_misses

Field is explicitly present in reference but missing in parser output.

[{"lang": "Russian", "level": "Native"}, {"lang": "English", "level": "B2"}]

quality-comparator-default-a openai/gpt-4o-mini
2026-05-28 08:53:47 89% приемлемо tg_696_Ekaterina_Novoselova_Chief_Data_and_Analytics_Officer.pdf Ekaterina Novoselova run_ebe7ef0afd9e45f98cdcc516674c5613 artifacts city пропущено важное поле critical_misses

City is incorrectly parsed.

Almaty

Moscow

quality-comparator-default-a openai/gpt-4o-mini
2026-05-28 08:53:47 89% приемлемо tg_696_Ekaterina_Novoselova_Chief_Data_and_Analytics_Officer.pdf Ekaterina Novoselova run_ebe7ef0afd9e45f98cdcc516674c5613 artifacts country пропущено важное поле critical_misses

Country is incorrectly parsed.

Kazakhstan

Russia

quality-comparator-default-a openai/gpt-4o-mini
2026-05-28 08:52:20 89% приемлемо tg_696_Ekaterina_Novoselova_Chief_Data_and_Analytics_Officer.pdf Ekaterina Novoselova run_ce8c1bb088ef4bbaac824d7d0f86c00f artifacts city пропущено важное поле critical_misses

Город указан неверно, в reference указано 'Almaty', а в parser 'Moscow'.

Almaty

Moscow

quality-comparator-default-a openai/gpt-4o-mini
2026-05-28 08:52:20 89% приемлемо tg_696_Ekaterina_Novoselova_Chief_Data_and_Analytics_Officer.pdf Ekaterina Novoselova run_ce8c1bb088ef4bbaac824d7d0f86c00f artifacts country пропущено важное поле critical_misses

Страна указана неверно, в reference указано 'Kazakhstan', а в parser 'Russia'.

Kazakhstan

Russia

quality-comparator-default-a openai/gpt-4o-mini
2026-05-19 16:41:11 89% приемлемо tg_660_Alexander_Tarasenko_Tech_Lead.pdf Alexander Tarasenko run_a9a1cdd872f64347a5f0089eb274f284 artifacts city пропущено важное поле critical_misses

City is incorrectly parsed.

Tbilisi

Saint Petersburg

quality-comparator-default-a openai/gpt-4o-mini
2026-05-19 16:41:11 89% приемлемо tg_660_Alexander_Tarasenko_Tech_Lead.pdf Alexander Tarasenko run_a9a1cdd872f64347a5f0089eb274f284 artifacts country пропущено важное поле critical_misses

Country is incorrectly parsed.

UAE

Russia

quality-comparator-default-a openai/gpt-4o-mini
2026-05-19 16:30:30 89% приемлемо tg_669_Ilia_Lopukhov_Creative_Director.pdf Ilia Lopukhov run_60640b4818394f3e90d26e1ff834c906 artifacts city пропущено важное поле critical_misses

City is explicitly mentioned in the reference but is missing in parser output.

Bali

Moscow

quality-comparator-default-a openai/gpt-4o-mini
2026-05-19 16:30:30 89% приемлемо tg_669_Ilia_Lopukhov_Creative_Director.pdf Ilia Lopukhov run_60640b4818394f3e90d26e1ff834c906 artifacts current_company пропущено важное поле critical_misses

Current company is explicitly mentioned in the reference but is incorrect in parser output.

Realweb Digital Agency

DiceWillDecide

quality-comparator-default-a openai/gpt-4o-mini
2026-05-19 16:28:07 89% приемлемо tg_670_Tatiana_Sedova_Technology_Business_Partner.pdf Tatiana Sedova run_7ac9ef88b9b046718d6121b9fd2aabc1 artifacts city пропущено важное поле critical_misses

Город должен быть 'Dubai', как указано в reference.

Dubai

Moscow

quality-comparator-default-a openai/gpt-4o-mini
2026-05-19 16:28:07 89% приемлемо tg_670_Tatiana_Sedova_Technology_Business_Partner.pdf Tatiana Sedova run_7ac9ef88b9b046718d6121b9fd2aabc1 artifacts country пропущено важное поле critical_misses

Страна должна быть 'UAE', как указано в reference.

UAE

Russia

quality-comparator-default-a openai/gpt-4o-mini
2026-05-19 16:08:55 79% приемлемо tg_683_Marat_Gudkov_Product_Manager.pdf Marat Gudkov run_e44ab9c36e004358b241f4241e590951 artifacts city пропущено важное поле critical_misses

Город не совпадает с ожидаемым.

Chiang Mai

Moscow

quality-comparator-default-a openai/gpt-4o-mini
2026-05-19 16:08:55 79% приемлемо tg_683_Marat_Gudkov_Product_Manager.pdf Marat Gudkov run_e44ab9c36e004358b241f4241e590951 artifacts country пропущено важное поле critical_misses

Страна не совпадает с ожидаемой.

Thailand

Russia

quality-comparator-default-a openai/gpt-4o-mini
2026-05-19 16:08:55 79% приемлемо tg_683_Marat_Gudkov_Product_Manager.pdf Marat Gudkov run_e44ab9c36e004358b241f4241e590951 artifacts about пропущено важное поле critical_misses

Содержимое поля 'about' не соответствует ожидаемому.

Product Manager with 6+ years of experience across gaming and B2B SaaS, with strong expertise in product analytics. Specializes in driving growth by identifying and scaling 'Aha!' and activation moments, consistently increasing retention by more than 2%. Increased trial-to-paid conversion by 50% and retained approximately $50K in MRR by reducing churn and applying user segmentation. Built an A/B testing platform capable of comparing 10+ variants simultaneously, accelerating experimentation and reducing testing costs by 5x.

Кандидат имеет более 6 лет опыта в продуктовом управлении и аналитике в сферах гейминга и B2B SaaS, с фокусом на аналитику, рост и удержание пользователей. Специализируется на выявлении ключевых моментов активации, оптимизации онбординга и снижении оттока, что позволило увеличить конверсию пробного периода в платный на 50% и сохранить $50K MRR. Разработал платформу A/B-тестирования, поддерживающую 10+ вариантов одновременно, и внедрил ML-модели для персонализации и прогнозирования. В последнее время работает над DeFi-автоматизацией на Solana, что указывает на расширение компетенций в финтех.

quality-comparator-default-a openai/gpt-4o-mini
2026-05-19 16:08:55 79% приемлемо tg_683_Marat_Gudkov_Product_Manager.pdf Marat Gudkov run_e44ab9c36e004358b241f4241e590951 artifacts current_company пропущено важное поле critical_misses

Текущая компания не совпадает с ожидаемой.

Manatal

Yield Guarden

quality-comparator-default-a openai/gpt-4o-mini
2026-05-19 16:05:07 89% приемлемо tg_685_Mariia_Koroleva_Senior_IT_Business_Analyst.pdf Mariia Koroleva run_2ca0369e884244b9805c1a1068335534 artifacts city пропущено важное поле critical_misses

Город работы указан неверно.

Baku

Moscow

quality-comparator-default-a openai/gpt-4o-mini
2026-05-19 16:05:07 89% приемлемо tg_685_Mariia_Koroleva_Senior_IT_Business_Analyst.pdf Mariia Koroleva run_2ca0369e884244b9805c1a1068335534 artifacts country пропущено важное поле critical_misses

Страна работы указана неверно.

Azerbaijan

Russia

quality-comparator-default-a openai/gpt-4o-mini
2026-05-19 16:01:11 89% приемлемо tg_688_Roman_Okonenko_Senior_Legal_Counsel.docx.pdf Roman Okonenko run_0fe7930c693346a68f05df64e6c19051 artifacts city пропущено важное поле critical_misses

City is incorrectly parsed.

Tbilisi

Moscow

quality-comparator-default-a openai/gpt-4o-mini
2026-05-19 16:01:11 89% приемлемо tg_688_Roman_Okonenko_Senior_Legal_Counsel.docx.pdf Roman Okonenko run_0fe7930c693346a68f05df64e6c19051 artifacts country пропущено важное поле critical_misses

Country is incorrectly parsed.

Georgia

Russia

quality-comparator-default-a openai/gpt-4o-mini
2026-05-19 15:47:05 89% приемлемо tg_696_Ekaterina_Novoselova_Chief_Data_and_Analytics_Officer.pdf Ekaterina Novoselova run_29f031b489644cdc8573d0ed96799ed5 artifacts city пропущено важное поле critical_misses

Город указан неверно, в резюме указан Алматы.

Almaty

Moscow

quality-comparator-default-a openai/gpt-4o-mini
2026-05-19 15:47:05 89% приемлемо tg_696_Ekaterina_Novoselova_Chief_Data_and_Analytics_Officer.pdf Ekaterina Novoselova run_29f031b489644cdc8573d0ed96799ed5 artifacts country пропущено важное поле critical_misses

Страна указана неверно, в резюме указана Казахстан.

Kazakhstan

Russia

quality-comparator-default-a openai/gpt-4o-mini
2026-05-19 10:20:59 89% приемлемо tg_659_Гузяев_Виталии__Senior_Software_Engineer_Golang_.pdf Гузяев Виталий run_1288113da36e4ae2b22f3f7f12aec9aa artifacts city пропущено важное поле critical_misses

Поле city должно быть null, но указано 'Не указан'.

null

Не указан

quality-comparator-default-a openai/gpt-4o-mini
2026-05-19 10:20:59 89% приемлемо tg_659_Гузяев_Виталии__Senior_Software_Engineer_Golang_.pdf Гузяев Виталий run_1288113da36e4ae2b22f3f7f12aec9aa artifacts current_company пропущено важное поле critical_misses

Текущая компания указана неверно.

Quantori

Broadridge

quality-comparator-default-a openai/gpt-4o-mini
2026-05-19 10:19:38 89% приемлемо tg_660_Alexander_Tarasenko_Tech_Lead.pdf Alexander Tarasenko run_2a9b968d14c8452c92aba6e48f591824 artifacts city пропущено важное поле critical_misses

City is incorrectly parsed.

Tbilisi

Saint Petersburg

quality-comparator-default-a openai/gpt-4o-mini
2026-05-19 10:19:38 89% приемлемо tg_660_Alexander_Tarasenko_Tech_Lead.pdf Alexander Tarasenko run_2a9b968d14c8452c92aba6e48f591824 artifacts country пропущено важное поле critical_misses

Country is incorrectly parsed.

UAE

Russia

quality-comparator-default-a openai/gpt-4o-mini
2026-05-19 10:14:39 63% плохо tg_660_Alexander_Tarasenko_Tech_Lead.pdf Alexander Tarasenko run_825932c67e5a462f8699a21411ef93e7 artifacts city пропущено важное поле critical_misses

City is incorrectly parsed.

Tbilisi

Saint Petersburg

quality-comparator-default-a openai/gpt-4o-mini
2026-05-19 10:14:39 63% плохо tg_660_Alexander_Tarasenko_Tech_Lead.pdf Alexander Tarasenko run_825932c67e5a462f8699a21411ef93e7 artifacts country пропущено важное поле critical_misses

Country is incorrectly parsed.

UAE

Russia

quality-comparator-default-a openai/gpt-4o-mini
2026-05-19 10:14:39 63% плохо tg_660_Alexander_Tarasenko_Tech_Lead.pdf Alexander Tarasenko run_825932c67e5a462f8699a21411ef93e7 artifacts current_company пропущено важное поле critical_misses

Current company is missing.

Cypher Capital

quality-comparator-default-a openai/gpt-4o-mini
2026-05-19 10:14:39 63% плохо tg_660_Alexander_Tarasenko_Tech_Lead.pdf Alexander Tarasenko run_825932c67e5a462f8699a21411ef93e7 artifacts about пропущено важное поле critical_misses

About section is missing.

Tech Lead with over 10 years of experience building high-performance backend and integration platforms in C#/.NET. Launched MVPs from scratch and delivered scalable distributed systems to stable production, including real-time pipelines handling 500+ RPS with p99.95 < 400 ms and reducing data-loss incidents by 90%. Led cross-functional teams, established CI/CD and observability practices, and improved reliability and engineering standards. Strong in system architecture, event-driven design, and building production-ready solutions under real user load.

quality-comparator-default-a openai/gpt-4o-mini
2026-05-19 10:14:39 63% плохо tg_660_Alexander_Tarasenko_Tech_Lead.pdf Alexander Tarasenko run_825932c67e5a462f8699a21411ef93e7 artifacts education пропущено важное поле critical_misses

Education section is missing.

[{"degree":"Master’s Degree","end_year":2017,"organization":"Far Eastern Federal University","specialization":"Applied Mathematics and Computer Science","start_year":null}]

quality-comparator-default-a openai/gpt-4o-mini
2026-05-19 10:14:39 63% плохо tg_660_Alexander_Tarasenko_Tech_Lead.pdf Alexander Tarasenko run_825932c67e5a462f8699a21411ef93e7 artifacts languages пропущено важное поле critical_misses

Languages section is missing.

[{"lang":"Russian","level":"Native"},{"lang":"English","level":"C1"}]

quality-comparator-default-a openai/gpt-4o-mini
2026-05-19 10:14:39 63% плохо tg_660_Alexander_Tarasenko_Tech_Lead.pdf Alexander Tarasenko run_825932c67e5a462f8699a21411ef93e7 artifacts work_experience пропущено важное поле critical_misses

Work experience section is missing.

[{"city":"Dubai","company_name":"Cypher Capital","description":"Web3 investment firm focused on blockchain, digital assets, and early-stage crypto products.","end_date":"Oct 2025","position":"Tech Lead","start_date":"Nov 2024","total_months":12},{"city":"Nevada","company_name":"Sweed","description":"Retail software platform for cannabis dispensaries, covering POS, eCommerce, inventory, and payments.","end_date":"Nov 2024","position":"Tech Lead","start_date":"Jul 2023","total_months":16},{"city":"Saint Petersburg","company_name":"Ozon","description":"Russian e-commerce marketplace and digital platform, similar to Amazon.","end_date":"Jun 2023","position":"Senior Software Engineer","start_date":"Sep 2021","total_months":22},{"city":"Vladivostok","company_name":"Siemens Finance","description":"Russian equipment finance and leasing company, similar to BNP Paribas Leasing Solutions.","end_date":"Aug 2021","position":"Software Engineer","start_date":"Apr 2019","total_months":28},{"city":"Vladivostok","company_name":"Izumrud","description":"Russian manufacturer of marine electronics and other complex electronic systems, similar to Kongsberg Maritime.","end_date":"Mar 2019","position":"Software Engineer","start_date":"Dec 2015","total_months":40}]

quality-comparator-default-a openai/gpt-4o-mini
2026-05-19 10:14:15 89% приемлемо tg_660_Alexander_Tarasenko_Tech_Lead.pdf Alexander Tarasenko run_2cc3fdc8e6e044a9b6ad2e4220a8320a artifacts city пропущено важное поле critical_misses

City is incorrectly parsed.

Tbilisi

Saint Petersburg

quality-comparator-default-a openai/gpt-4o-mini
2026-05-19 10:14:15 89% приемлемо tg_660_Alexander_Tarasenko_Tech_Lead.pdf Alexander Tarasenko run_2cc3fdc8e6e044a9b6ad2e4220a8320a artifacts country пропущено важное поле critical_misses

Country is incorrectly parsed.

UAE

Russia

quality-comparator-default-a openai/gpt-4o-mini
2026-05-19 09:56:44 89% приемлемо tg_666_Aniskov_Head_of_Mobile_Engineering.pdf Roman Aniskov run_f6503576f7794902985b647e61dc19f5 artifacts city пропущено важное поле critical_misses

City is incorrectly parsed.

Belgrade

Moscow

quality-comparator-default-a openai/gpt-4o-mini
2026-05-19 09:56:44 89% приемлемо tg_666_Aniskov_Head_of_Mobile_Engineering.pdf Roman Aniskov run_f6503576f7794902985b647e61dc19f5 artifacts country пропущено важное поле critical_misses

Country is incorrectly parsed.

Serbia

Russia

quality-comparator-default-a openai/gpt-4o-mini
2026-05-19 09:56:25 89% приемлемо tg_666_Aniskov_Head_of_Mobile_Engineering.pdf Roman Aniskov run_bc794533c11d487d849eceebbea25d69 artifacts city пропущено важное поле critical_misses

City is incorrectly parsed.

Belgrade

Moscow

quality-comparator-default-a openai/gpt-4o-mini
2026-05-19 09:56:25 89% приемлемо tg_666_Aniskov_Head_of_Mobile_Engineering.pdf Roman Aniskov run_bc794533c11d487d849eceebbea25d69 artifacts country пропущено важное поле critical_misses

Country is incorrectly parsed.

Serbia

Russia

quality-comparator-default-a openai/gpt-4o-mini
2026-05-19 09:56:04 89% приемлемо tg_667_Irina_Zasenko_Data_Analyst.pdf Irina Zasenko run_3edd6d6db2cd4f33870df32278d5784e artifacts city пропущено важное поле critical_misses

City is incorrectly parsed.

Dusseldorf

Moscow

quality-comparator-default-a openai/gpt-4o-mini
2026-05-19 09:56:04 89% приемлемо tg_667_Irina_Zasenko_Data_Analyst.pdf Irina Zasenko run_3edd6d6db2cd4f33870df32278d5784e artifacts country пропущено важное поле critical_misses

Country is incorrectly parsed.

Germany

Russia

quality-comparator-default-a openai/gpt-4o-mini
2026-05-19 09:55:49 63% плохо tg_667_Irina_Zasenko_Data_Analyst.pdf Irina Zasenko run_2b2b13098c5f4aa8a6b9809e0217260d artifacts current_company пропущено важное поле critical_misses

Field is missing in parser output.

Sauerland-Tourismus e.V.

quality-comparator-default-a openai/gpt-4o-mini
2026-05-19 09:55:49 63% плохо tg_667_Irina_Zasenko_Data_Analyst.pdf Irina Zasenko run_2b2b13098c5f4aa8a6b9809e0217260d artifacts work_experience пропущено важное поле critical_misses

Field is missing in parser output.

[{"city":"Remote","company_name":"Sauerland-Tourismus e.V.","description":"Regional tourism organization responsible for destination promotion, visitor services, and digital travel content.","end_date":"Feb 2026","position":"Data Analyst","start_date":"Dec 2025","total_months":3},{"city":"Berlin","company_name":"IT Career Hub","description":"Berlin-based analytics training provider focused on practical projects in SQL, Python, and BI tools.","end_date":"Sep 2025","position":"Data Analyst","start_date":"Nov 2024","total_months":10},{"city":"Moscow","company_name":"IT LLC SIBINTEK","description":"A Russian IT giant in the oil and gas sector, part of the Rosneft Group, competing with Schlumberger.","end_date":"Mar 2023","position":"Systems Analyst","start_date":"Oct 2016","total_months":78},{"city":"Moscow","company_name":"RN-Inform and British Petroleum","description":null,"end_date":"Oct 2016","position":"Earlier Experience in Data Integration and Production Analytics","start_date":"Nov 2004","total_months":144}]

quality-comparator-default-a openai/gpt-4o-mini
2026-05-19 09:55:49 63% плохо tg_667_Irina_Zasenko_Data_Analyst.pdf Irina Zasenko run_2b2b13098c5f4aa8a6b9809e0217260d artifacts about пропущено важное поле critical_misses

Field is missing in parser output.

Data Analyst with over 10 years of experience in enterprise data, reporting, system testing, and process improvement across IT and energy environments. Strong in SQL, data validation, dashboarding, and user workflow analysis, with measurable results including 70% fewer support requests, 40% improvement in data quality and process efficiency, and 60% faster reporting through SQL automation. Experienced in large-scale systems and cross-functional analytical work.

quality-comparator-default-a openai/gpt-4o-mini
2026-05-19 09:55:49 63% плохо tg_667_Irina_Zasenko_Data_Analyst.pdf Irina Zasenko run_2b2b13098c5f4aa8a6b9809e0217260d artifacts city пропущено важное поле critical_misses

Incorrect city value.

Dusseldorf

Moscow

quality-comparator-default-a openai/gpt-4o-mini
2026-05-19 09:55:49 63% плохо tg_667_Irina_Zasenko_Data_Analyst.pdf Irina Zasenko run_2b2b13098c5f4aa8a6b9809e0217260d artifacts country пропущено важное поле critical_misses

Incorrect country value.

Germany

Russia

quality-comparator-default-a openai/gpt-4o-mini
2026-05-19 09:55:49 63% плохо tg_667_Irina_Zasenko_Data_Analyst.pdf Irina Zasenko run_2b2b13098c5f4aa8a6b9809e0217260d artifacts education пропущено важное поле critical_misses

Field is missing in parser output.

[{"degree":null,"end_year":2007,"organization":"Tyumen State Oil and Gas University","specialization":"Engineer in Field Development","start_year":null}]

quality-comparator-default-a openai/gpt-4o-mini
2026-05-19 09:55:49 63% плохо tg_667_Irina_Zasenko_Data_Analyst.pdf Irina Zasenko run_2b2b13098c5f4aa8a6b9809e0217260d artifacts languages пропущено важное поле critical_misses

Field is missing in parser output.

[{"lang":"Russian","level":"Native"},{"lang":"English","level":"B2"},{"lang":"German","level":"B2"}]

quality-comparator-default-a openai/gpt-4o-mini
2026-05-19 09:44:57 89% приемлемо tg_669_Ilia_Lopukhov_Creative_Director.pdf Ilia Lopukhov run_117de5be710b4c7298e351deb7be5ed7 artifacts city пропущено важное поле critical_misses

City is incorrectly parsed.

Bali

Moscow

quality-comparator-default-a openai/gpt-4o-mini
2026-05-19 09:44:57 89% приемлемо tg_669_Ilia_Lopukhov_Creative_Director.pdf Ilia Lopukhov run_117de5be710b4c7298e351deb7be5ed7 artifacts current_company пропущено важное поле critical_misses

Current company is incorrectly parsed.

Realweb Digital Agency

DiceWillDecide

quality-comparator-default-a openai/gpt-4o-mini
2026-05-19 09:44:31 89% приемлемо tg_669_Ilia_Lopukhov_Creative_Director.pdf Ilia Lopukhov run_4bd8bb8418ff4ecc9e78b8fe659645d9 artifacts city пропущено важное поле critical_misses

Город указан неверно, в резюме указан 'Bali', а в парсере 'Moscow'.

Bali

Moscow

quality-comparator-default-a openai/gpt-4o-mini
2026-05-19 09:44:31 89% приемлемо tg_669_Ilia_Lopukhov_Creative_Director.pdf Ilia Lopukhov run_4bd8bb8418ff4ecc9e78b8fe659645d9 artifacts country пропущено важное поле critical_misses

Страна указана неверно, в резюме указана 'Indonesia', а в парсере 'Russia'.

Indonesia

Russia

quality-comparator-default-a openai/gpt-4o-mini
2026-05-19 09:11:52 83% приемлемо tg_679_Aleksandra_Kolesnikova_Head_of_Product.pdf Aleksandra Kolesnikova run_02a2400c78f04ccd9b5897a8088400e6 artifacts city пропущено важное поле critical_misses

City is explicitly mentioned in the reference but is missing in parser output.

Remote

Не указан

quality-comparator-default-a openai/gpt-4o-mini
2026-05-19 09:11:52 83% приемлемо tg_679_Aleksandra_Kolesnikova_Head_of_Product.pdf Aleksandra Kolesnikova run_02a2400c78f04ccd9b5897a8088400e6 artifacts country пропущено важное поле critical_misses

Country is explicitly mentioned in the reference but is missing in parser output.

USA

quality-comparator-default-a openai/gpt-4o-mini
2026-05-19 09:11:52 83% приемлемо tg_679_Aleksandra_Kolesnikova_Head_of_Product.pdf Aleksandra Kolesnikova run_02a2400c78f04ccd9b5897a8088400e6 artifacts total_experience_months пропущено важное поле critical_misses

Total experience months calculated incorrectly, leading to a significant discrepancy.

84

117

quality-comparator-default-a openai/gpt-4o-mini
2026-05-19 09:11:52 83% приемлемо tg_679_Aleksandra_Kolesnikova_Head_of_Product.pdf Aleksandra Kolesnikova run_02a2400c78f04ccd9b5897a8088400e6 artifacts current_company неверное значение wrong_values

Current company name includes additional information not present in the reference.

Welltory

Welltory, USA

quality-comparator-default-a openai/gpt-4o-mini
2026-05-19 09:00:33 89% приемлемо tg_682_Aleksey_Titarenko_Strategic_Customer_Success_Manager.pdf Aleksey Titarenko run_219793526b2e4ad4b8a79ce1c7eb96d1 artifacts city пропущено важное поле critical_misses

City is incorrectly parsed.

Västerås

Moscow

quality-comparator-default-a openai/gpt-4o-mini
2026-05-19 09:00:33 89% приемлемо tg_682_Aleksey_Titarenko_Strategic_Customer_Success_Manager.pdf Aleksey Titarenko run_219793526b2e4ad4b8a79ce1c7eb96d1 artifacts country пропущено важное поле critical_misses

Country is incorrectly parsed.

Sweden

Russia

quality-comparator-default-a openai/gpt-4o-mini
2026-05-19 08:55:38 63% плохо tg_682_Aleksey_Titarenko_Strategic_Customer_Success_Manager.pdf Aleksey Titarenko run_9cc45139e06d43d2b12550ecae3c23ad artifacts city пропущено важное поле critical_misses

City is incorrectly parsed.

Västerås

Moscow

quality-comparator-default-a openai/gpt-4o-mini
2026-05-19 08:55:38 63% плохо tg_682_Aleksey_Titarenko_Strategic_Customer_Success_Manager.pdf Aleksey Titarenko run_9cc45139e06d43d2b12550ecae3c23ad artifacts country пропущено важное поле critical_misses

Country is incorrectly parsed.

Sweden

Russia

quality-comparator-default-a openai/gpt-4o-mini
2026-05-19 08:55:38 63% плохо tg_682_Aleksey_Titarenko_Strategic_Customer_Success_Manager.pdf Aleksey Titarenko run_9cc45139e06d43d2b12550ecae3c23ad artifacts current_company пропущено важное поле critical_misses

Current company is missing.

Ailet

quality-comparator-default-a openai/gpt-4o-mini
2026-05-19 08:55:38 63% плохо tg_682_Aleksey_Titarenko_Strategic_Customer_Success_Manager.pdf Aleksey Titarenko run_9cc45139e06d43d2b12550ecae3c23ad artifacts about пропущено важное поле critical_misses

About section is missing.

Strategic Customer Success Manager with over 9 years of experience managing enterprise accounts and driving retention, expansion, and revenue growth across SaaS, e-commerce, mobility, and market intelligence. Delivered 96% retention across a RUB 90.5M ARR portfolio, scaled a key account from RUB 5.8M to RUB 12.3M ARR, and preserved RUB 23M in annual revenue during competitive tenders. Trusted to stabilize at-risk accounts, lead complex client situations, and convert customer needs into measurable commercial growth.

quality-comparator-default-a openai/gpt-4o-mini
2026-05-19 08:55:38 63% плохо tg_682_Aleksey_Titarenko_Strategic_Customer_Success_Manager.pdf Aleksey Titarenko run_9cc45139e06d43d2b12550ecae3c23ad artifacts education пропущено важное поле critical_misses

Education details are missing.

[{"degree": null, "end_year": 2013, "organization": "State University of Management", "specialization": "Specialist Degree in Organization Management", "start_year": null}]

quality-comparator-default-a openai/gpt-4o-mini
2026-05-19 08:55:38 63% плохо tg_682_Aleksey_Titarenko_Strategic_Customer_Success_Manager.pdf Aleksey Titarenko run_9cc45139e06d43d2b12550ecae3c23ad artifacts languages пропущено важное поле critical_misses

Languages are missing.

[{"lang": "Russian", "level": "Native"}, {"lang": "English", "level": "C1"}, {"lang": "Swedish", "level": "A2"}, {"lang": "German", "level": "A1"}]

quality-comparator-default-a openai/gpt-4o-mini
2026-05-19 08:55:38 63% плохо tg_682_Aleksey_Titarenko_Strategic_Customer_Success_Manager.pdf Aleksey Titarenko run_9cc45139e06d43d2b12550ecae3c23ad artifacts work_experience пропущено важное поле critical_misses

Work experience is missing.

[{"city": "Remote", "company_name": "Ailet", "description": "AI-powered retail analytics SaaS company for CPG, retail, and pharma brands.", "end_date": "to present", "position": "Strategic Customer Success Manager", "start_date": "Apr 2024", "total_months": null}, {"city": "Remote", "company_name": "Yango", "description": "Global mobility and digital services platform operating across 30+ countries, similar to Uber.", "end_date": "Nov 2023", "position": "Key Account Manager", "start_date": "Nov 2022", "total_months": 12}, {"city": "Moscow", "company_name": "Yandex.Market", "description": "E-commerce marketplace where sellers list products and customers find, compare, and buy goods, similar to Amazon.", "end_date": "Nov 2022", "position": "Partner Account Manager", "start_date": "Oct 2020", "total_months": 25}, {"city": "Moscow", "company_name": "GfK", "description": "Global consumer intelligence and market research company providing retail analytics and insights.", "end_date": "Oct 2020", "position": "National Key Account Manager", "start_date": "Jan 2020", "total_months": 10}, {"city": null, "company_name": null, "description": null, "end_date": "Jan 2020", "position": "Senior Consultant", "start_date": "Jan 2019", "total_months": 12}, {"city": null, "company_name": null, "description": null, "end_date": "Jan 2019", "position": "Consultant", "start_date": "Jan 2017", "total_months": 24}]

quality-comparator-default-a openai/gpt-4o-mini
2026-05-19 08:55:12 84% приемлемо tg_682_Aleksey_Titarenko_Strategic_Customer_Success_Manager.pdf Aleksey Titarenko run_b33d5b787081478096ab77e48f1e84af artifacts city пропущено важное поле critical_misses

City is incorrectly parsed.

Västerås

Moscow

quality-comparator-default-a openai/gpt-4o-mini
2026-05-19 08:55:12 84% приемлемо tg_682_Aleksey_Titarenko_Strategic_Customer_Success_Manager.pdf Aleksey Titarenko run_b33d5b787081478096ab77e48f1e84af artifacts country пропущено важное поле critical_misses

Country is incorrectly parsed.

Sweden

Russia

quality-comparator-default-a openai/gpt-4o-mini
2026-05-19 08:55:12 84% приемлемо tg_682_Aleksey_Titarenko_Strategic_Customer_Success_Manager.pdf Aleksey Titarenko run_b33d5b787081478096ab77e48f1e84af artifacts about пропущено важное поле critical_misses

About section is not a direct translation and contains additional information.

Strategic Customer Success Manager with over 9 years of experience managing enterprise accounts and driving retention, expansion, and revenue growth across SaaS, e-commerce, mobility, and market intelligence. Delivered 96% retention across a RUB 90.5M ARR portfolio, scaled a key account from RUB 5.8M to RUB 12.3M ARR, and preserved RUB 23M in annual revenue during competitive tenders. Trusted to stabilize at-risk accounts, lead complex client situations, and convert customer needs into measurable commercial growth.

Кандидат имеет более 9 лет опыта в управлении корпоративными аккаунтами и повышении удержания клиентов, расширении и росте выручки в сферах SaaS, электронной коммерции, мобильности и анализа рынка. Успешно увеличил выручку ключевых аккаунтов, снизил отток клиентов и сохранил значительные объёмы доходов в условиях конкурентных тендеров. Обладает опытом стабилизации проблемных аккаунтов и преобразования потребностей клиентов в измеримый коммерческий рост. Владеет инструментами HubSpot, Salesforce, Jira, YouTrack, Miro и другими.

quality-comparator-default-a openai/gpt-4o-mini
2026-05-19 08:54:40 84% приемлемо tg_683_Marat_Gudkov_Product_Manager.pdf Marat Gudkov run_e50c6d0cb19f484b853fb5eef7d776a3 artifacts city пропущено важное поле critical_misses

City is incorrectly parsed.

Chiang Mai

Moscow

quality-comparator-default-a openai/gpt-4o-mini
2026-05-19 08:54:40 84% приемлемо tg_683_Marat_Gudkov_Product_Manager.pdf Marat Gudkov run_e50c6d0cb19f484b853fb5eef7d776a3 artifacts country пропущено важное поле critical_misses

Country is incorrectly parsed.

Thailand

Russia

quality-comparator-default-a openai/gpt-4o-mini
2026-05-19 08:54:40 84% приемлемо tg_683_Marat_Gudkov_Product_Manager.pdf Marat Gudkov run_e50c6d0cb19f484b853fb5eef7d776a3 artifacts current_company пропущено важное поле critical_misses

Current company is incorrectly parsed.

Manatal

Yield Guarden

quality-comparator-default-a openai/gpt-4o-mini
2026-05-19 08:48:59 89% приемлемо tg_683_Marat_Gudkov_Product_Manager.pdf Marat Gudkov run_3f354cbf4b5447bd80ab052749096f64 artifacts city пропущено важное поле critical_misses

Город не совпадает с ожидаемым значением.

Chiang Mai

Moscow

quality-comparator-default-a openai/gpt-4o-mini
2026-05-19 08:48:59 89% приемлемо tg_683_Marat_Gudkov_Product_Manager.pdf Marat Gudkov run_3f354cbf4b5447bd80ab052749096f64 artifacts country пропущено важное поле critical_misses

Страна не совпадает с ожидаемым значением.

Thailand

Russia

quality-comparator-default-a openai/gpt-4o-mini
2026-05-19 08:43:23 68% плохо tg_684_Valeria_Spektor_Senior_QA_Engineer.pdf Valeria Spektor run_8be252f6e6d844b3ad78ddab014b83e3 artifacts current_company пропущено важное поле critical_misses

Field is explicitly present in reference but missing in parser output.

Empire Leads

quality-comparator-default-a openai/gpt-4o-mini
2026-05-19 08:43:23 68% плохо tg_684_Valeria_Spektor_Senior_QA_Engineer.pdf Valeria Spektor run_8be252f6e6d844b3ad78ddab014b83e3 artifacts about пропущено важное поле critical_misses

Field is explicitly present in reference but missing in parser output.

Senior QA Engineer with 3 years of experience in high-load CRM systems, AI products, and web platforms. Built QA processes from scratch and owned end-to-end quality in complex, business-critical environments. Improved pre-release detection of critical defects to 70-80% and reduced critical production defects by 30-40% through stronger test coverage, release control, and quality ownership. Strong in root-cause analysis, risk-based testing, and mentoring junior QA engineers.

quality-comparator-default-a openai/gpt-4o-mini
2026-05-19 08:43:23 68% плохо tg_684_Valeria_Spektor_Senior_QA_Engineer.pdf Valeria Spektor run_8be252f6e6d844b3ad78ddab014b83e3 artifacts city пропущено важное поле critical_misses

Field is present in reference but incorrectly reported as 'Не указан' in parser output.

Kiryat Yam

Не указан

quality-comparator-default-a openai/gpt-4o-mini
2026-05-19 08:43:23 68% плохо tg_684_Valeria_Spektor_Senior_QA_Engineer.pdf Valeria Spektor run_8be252f6e6d844b3ad78ddab014b83e3 artifacts education пропущено важное поле critical_misses

Field is explicitly present in reference but missing in parser output.

[{"degree": null, "end_year": null, "organization": "Kostroma State University", "specialization": "Bachelor’s Degree in Service and Tourism", "start_year": 2006}, {"degree": null, "end_year": null, "organization": "University of Haifa", "specialization": "Master’s Degree in Geography, Tourism Specialization", "start_year": 2010}]

quality-comparator-default-a openai/gpt-4o-mini
2026-05-19 08:43:23 68% плохо tg_684_Valeria_Spektor_Senior_QA_Engineer.pdf Valeria Spektor run_8be252f6e6d844b3ad78ddab014b83e3 artifacts languages пропущено важное поле critical_misses

Field is explicitly present in reference but missing in parser output.

[{"lang": "Russian", "level": "Native"}, {"lang": "English", "level": "B1"}, {"lang": "Hebrew", "level": "C1"}]

quality-comparator-default-a openai/gpt-4o-mini
2026-05-19 08:43:23 68% плохо tg_684_Valeria_Spektor_Senior_QA_Engineer.pdf Valeria Spektor run_8be252f6e6d844b3ad78ddab014b83e3 artifacts work_experience пропущено важное поле critical_misses

Field is explicitly present in reference but missing in parser output.

[{"city": null, "company_name": "Empire Leads", "description": "A lead-generation company with a high-load CRM for lead management, sales operations, and analytics. Built QA processes from scratch, reducing critical release defects by 30-40% in the first 3 months. Owned end-to-end QA across UI, API, and DB layers, increasing critical defect detection before release to ~80%. Applied risk-based testing to reports, calculations, statuses, and analytics, shortening test execution time by 20-25%. Identified 50+ defects across reports, calculations, statuses, and data consistency, preventing critical issues. Performed root-cause analysis and coordinated release quality as the sole QA on the product, improving release stability and reducing repeated defects.", "end_date": "Mar 2026", "position": "Senior QA Engineer", "start_date": "Oct 2025", "total_months": 5}, {"city": null, "company_name": "WowPlaces", "description": "A travel marketplace focused on tours and recreation programs, with web and API-driven user workflows. Led a team of 4 junior QA engineers, increasing test execution efficiency by approximately 20%. Trained and onboarded 4 junior QA engineers, accelerating ramp-up by approximately 30%. Introduced risk-based prioritization and regression checklists, reducing defects in critical flows. Streamlined test cases, acceptance criteria, and pre-release review, reducing rework and defect leakage.", "end_date": "Aug 2025", "position": "QA Team Lead", "start_date": "Jun 2025", "total_months": 2}, {"city": null, "company_name": null, "description": "Quickly ramped up on the product and release workflows, supporting regression coverage and release testing. Covered core user flows, API integrations, and end-to-end scenarios, expanding coverage of critical areas. Created test cases and checklists and validated API behavior in Postman, improving test consistency and defect detection in business-logic scenarios.", "end_date": "Jun 2025", "position": "QA Engineer", "start_date": "May 2025", "total_months": 1}, {"city": null, "company_name": "VitaGPT-Chatbots.Studio", "description": "A chatbot development company delivering conversational AI solutions across banking, retail, healthcare, and travel. Established QA processes from scratch for AI assistant testing, introducing structured scenarios and checklists. Detected 30+ AI logic defects and mentored 50+ QA trainees, improving AI response consistency and training quality. Standardized validation of conversational flows, context retention, fallback logic, and hallucinations, increasing scenario coverage by ~30%.", "end_date": "Jan 2025", "position": "QA Engineer", "start_date": "Jun 2024", "total_months": 7}, {"city": null, "company_name": "Technosoft", "description": "Software development company building mobile and web products, similar to EPAM. Executed manual testing of a mobile application and prepared test cases and checklists, improving test coverage. Reported and verified defects and ran network checks via Charles Proxy, improving visibility into unstable scenarios.", "end_date": "Nov 2023", "position": "QA Engineer Intern", "start_date": "Sep 2023", "total_months": 2}]

quality-comparator-default-a openai/gpt-4o-mini
2026-05-19 08:42:14 87% приемлемо tg_685_Mariia_Koroleva_Senior_IT_Business_Analyst.pdf Mariia Koroleva run_f71388c964fc4129892565ab93079b76 artifacts city пропущено важное поле critical_misses

Город работы отличается от указанного в reference.

Baku

Moscow

quality-comparator-default-a openai/gpt-4o-mini
2026-05-19 08:42:14 87% приемлемо tg_685_Mariia_Koroleva_Senior_IT_Business_Analyst.pdf Mariia Koroleva run_f71388c964fc4129892565ab93079b76 artifacts country пропущено важное поле critical_misses

Страна работы отличается от указанной в reference.

Azerbaijan

Russia

quality-comparator-default-a openai/gpt-4o-mini
2026-05-19 08:42:14 87% приемлемо tg_685_Mariia_Koroleva_Senior_IT_Business_Analyst.pdf Mariia Koroleva run_f71388c964fc4129892565ab93079b76 artifacts education[0].start_year ошибка формата format_errors

Отсутствует год начала обучения в образовании.

2007

quality-comparator-default-a openai/gpt-4o-mini
2026-05-19 08:42:14 87% приемлемо tg_685_Mariia_Koroleva_Senior_IT_Business_Analyst.pdf Mariia Koroleva run_f71388c964fc4129892565ab93079b76 artifacts education[1].start_year ошибка формата format_errors

Отсутствует год начала обучения в образовании.

2007

quality-comparator-default-a openai/gpt-4o-mini
2026-05-19 08:42:14 87% приемлемо tg_685_Mariia_Koroleva_Senior_IT_Business_Analyst.pdf Mariia Koroleva run_f71388c964fc4129892565ab93079b76 artifacts education[2].degree ошибка формата format_errors

Отсутствует степень в образовании.

Course

quality-comparator-default-a openai/gpt-4o-mini
2026-05-19 08:42:14 87% приемлемо tg_685_Mariia_Koroleva_Senior_IT_Business_Analyst.pdf Mariia Koroleva run_f71388c964fc4129892565ab93079b76 artifacts education[3].degree ошибка формата format_errors

Отсутствует степень в образовании.

Course

quality-comparator-default-a openai/gpt-4o-mini
2026-05-19 08:42:14 87% приемлемо tg_685_Mariia_Koroleva_Senior_IT_Business_Analyst.pdf Mariia Koroleva run_f71388c964fc4129892565ab93079b76 artifacts education[4].degree ошибка формата format_errors

Отсутствует степень в образовании.

Course

quality-comparator-default-a openai/gpt-4o-mini
2026-05-19 08:42:14 87% приемлемо tg_685_Mariia_Koroleva_Senior_IT_Business_Analyst.pdf Mariia Koroleva run_f71388c964fc4129892565ab93079b76 artifacts education[5].degree ошибка формата format_errors

Отсутствует степень в образовании.

Course

quality-comparator-default-a openai/gpt-4o-mini
2026-05-19 08:36:57 89% приемлемо tg_685_Mariia_Koroleva_Senior_IT_Business_Analyst.pdf Mariia Koroleva run_a0ab7f650d9c4f64b4f273330b1f52e4 artifacts city пропущено важное поле critical_misses

Город не совпадает с указанным в резюме.

Baku

Moscow

quality-comparator-default-a openai/gpt-4o-mini
2026-05-19 08:36:57 89% приемлемо tg_685_Mariia_Koroleva_Senior_IT_Business_Analyst.pdf Mariia Koroleva run_a0ab7f650d9c4f64b4f273330b1f52e4 artifacts country пропущено важное поле critical_misses

Страна не совпадает с указанной в резюме.

Azerbaijan

Russia

quality-comparator-default-a openai/gpt-4o-mini
2026-05-19 08:36:35 89% приемлемо tg_685_Mariia_Koroleva_Senior_IT_Business_Analyst.pdf Mariia Koroleva run_4b29622ed25b4c6c9e601c50b0d9c74d artifacts city пропущено важное поле critical_misses

Город не совпадает с ожидаемым.

Baku

Moscow

quality-comparator-default-a openai/gpt-4o-mini
2026-05-19 08:36:35 89% приемлемо tg_685_Mariia_Koroleva_Senior_IT_Business_Analyst.pdf Mariia Koroleva run_4b29622ed25b4c6c9e601c50b0d9c74d artifacts country пропущено важное поле critical_misses

Страна не совпадает с ожидаемой.

Azerbaijan

Russia

quality-comparator-default-a openai/gpt-4o-mini
2026-05-19 08:26:24 68% плохо tg_687_Pavel_Povalyaev_Senior_Frontend_Engineer.pdf Pavel Povalyaev run_1204073e64ec41839fc2761ce5a1daed artifacts about пропущено важное поле critical_misses

Field is missing in parser output.

Senior Frontend Engineer with 10 years of commercial experience in high-traffic web products. Specializes in frontend architecture modernization, legacy refactoring, and large-scale platform upgrades. Delivered platform upgrades that increased SSR performance by 20%, removed a legacy blocker that had prevented React upgrades for more than five years, and led multiple project launches. Strong in architecture decisions, code review, and delivery of maintainable frontend systems in complex product environments.

quality-comparator-default-a openai/gpt-4o-mini
2026-05-19 08:26:24 68% плохо tg_687_Pavel_Povalyaev_Senior_Frontend_Engineer.pdf Pavel Povalyaev run_1204073e64ec41839fc2761ce5a1daed artifacts current_company пропущено важное поле critical_misses

Field is missing in parser output.

Rambler&Co

quality-comparator-default-a openai/gpt-4o-mini
2026-05-19 08:26:24 68% плохо tg_687_Pavel_Povalyaev_Senior_Frontend_Engineer.pdf Pavel Povalyaev run_1204073e64ec41839fc2761ce5a1daed artifacts total_experience_months пропущено важное поле critical_misses

Parser calculated total experience incorrectly.

60

120

quality-comparator-default-a openai/gpt-4o-mini
2026-05-19 08:26:24 68% плохо tg_687_Pavel_Povalyaev_Senior_Frontend_Engineer.pdf Pavel Povalyaev run_1204073e64ec41839fc2761ce5a1daed artifacts work_experience пропущено важное поле critical_misses

Field is missing in parser output.

List of work experiences

quality-comparator-default-a openai/gpt-4o-mini
2026-05-19 08:26:24 68% плохо tg_687_Pavel_Povalyaev_Senior_Frontend_Engineer.pdf Pavel Povalyaev run_1204073e64ec41839fc2761ce5a1daed artifacts education пропущено важное поле critical_misses

Field is missing in parser output.

List of education entries

quality-comparator-default-a openai/gpt-4o-mini
2026-05-19 08:26:24 68% плохо tg_687_Pavel_Povalyaev_Senior_Frontend_Engineer.pdf Pavel Povalyaev run_1204073e64ec41839fc2761ce5a1daed artifacts languages пропущено важное поле critical_misses

Field is missing in parser output.

List of languages

quality-comparator-default-a openai/gpt-4o-mini
2026-05-19 08:24:37 89% приемлемо tg_688_Roman_Okonenko_Senior_Legal_Counsel.docx.pdf Roman Okonenko run_1bfca5a0332843a792315950b9643826 artifacts city пропущено важное поле critical_misses

City is incorrectly parsed.

Tbilisi

Moscow

quality-comparator-default-a openai/gpt-4o-mini
2026-05-19 08:24:37 89% приемлемо tg_688_Roman_Okonenko_Senior_Legal_Counsel.docx.pdf Roman Okonenko run_1bfca5a0332843a792315950b9643826 artifacts country пропущено важное поле critical_misses

Country is incorrectly parsed.

Georgia

Russia

quality-comparator-default-a openai/gpt-4o-mini
2026-05-19 08:19:24 89% приемлемо tg_688_Roman_Okonenko_Senior_Legal_Counsel.docx.pdf Roman Okonenko run_62488d0c3b1c4cadbb121b768c6b9ace artifacts city пропущено важное поле critical_misses

City is incorrectly parsed.

Tbilisi

Moscow

quality-comparator-default-a openai/gpt-4o-mini
2026-05-19 08:19:24 89% приемлемо tg_688_Roman_Okonenko_Senior_Legal_Counsel.docx.pdf Roman Okonenko run_62488d0c3b1c4cadbb121b768c6b9ace artifacts country пропущено важное поле critical_misses

Country is incorrectly parsed.

Georgia

Russia

quality-comparator-default-a openai/gpt-4o-mini
2026-05-19 08:13:32 71% приемлемо tg_689_Veronika_Zhemchuzhnikova_Senior_Analyst.pdf Veronika Zhemchuzhnikova run_dfadfcbecc634dbf980904ab27f0538b artifacts about пропущено важное поле critical_misses

Field is present in reference but missing in parser output.

Senior Analyst with 13 years of experience in the securities market and 5 years in fintech and brokerage systems. Specializes in trading, risk, compliance, market surveillance, and Kafka-based data integrations. Delivered core solutions for market manipulation detection, regulatory reporting, and automated risk classification. Reduced operational incidents in risk and trading systems by 70%.

quality-comparator-default-a openai/gpt-4o-mini
2026-05-19 08:13:32 71% приемлемо tg_689_Veronika_Zhemchuzhnikova_Senior_Analyst.pdf Veronika Zhemchuzhnikova run_dfadfcbecc634dbf980904ab27f0538b artifacts current_company пропущено важное поле critical_misses

Field is present in reference but missing in parser output.

FINAM Investment Company

quality-comparator-default-a openai/gpt-4o-mini
2026-05-19 08:13:32 71% приемлемо tg_689_Veronika_Zhemchuzhnikova_Senior_Analyst.pdf Veronika Zhemchuzhnikova run_dfadfcbecc634dbf980904ab27f0538b artifacts education пропущено важное поле critical_misses

Field is present in reference but missing in parser output.

[{"degree":null,"end_year":2011,"organization":"Lomonosov Moscow State University","specialization":"Bachelor’s Degree in Economics","start_year":2007},{"degree":null,"end_year":2013,"organization":"Lomonosov Moscow State University","specialization":"Master’s Degree in State Audit (Higher School of State Audit)","start_year":2011},{"degree":null,"end_year":2013,"organization":"Russian Foreign Trade Academy (VAVT)","specialization":"MBA in Finance","start_year":2011},{"degree":null,"end_year":null,"organization":"Bauman Moscow State Technical University","specialization":"System Analysis","start_year":2025}]

quality-comparator-default-a openai/gpt-4o-mini
2026-05-19 08:13:32 71% приемлемо tg_689_Veronika_Zhemchuzhnikova_Senior_Analyst.pdf Veronika Zhemchuzhnikova run_dfadfcbecc634dbf980904ab27f0538b artifacts work_experience пропущено важное поле critical_misses

Field is present in reference but missing in parser output.

[{"city":"Moscow","company_name":"FINAM Investment Company","description":"Leading brokerage group providing investment, trading and asset management services for retail and institutional clients. Built internal market manipulation detection framework and reporting system, reducing compliance workload from 5 hours to 1 hour daily and mitigating regulatory penalties of up to 500K RUB per violation. Optimized risk and trading systems across 4 trading platforms, reducing operational incidents by 70% over six months through process, data flow, and architecture improvements. Designed Kafka-based integration layer with multiple contract prototypes, processing several Gb of data per day, enabling faster data processing and improving real-time availability of trading and client information. Implemented automated risk classification mechanism across trading, CRM, and regulatory systems, ensuring consistent risk attribution and reducing compliance exposure. Developed client revenue distribution platform for asset management operations, enabling scalable product architecture and future commercialization. Delivered collateral acceptance framework for foreign currency assets across BackOffice and EDO systems, enabling new client acquisition and additional revenue streams.","end_date":"to present","position":"Senior Analyst","start_date":"Jun 2022","total_months":null},{"city":"Moscow","company_name":"Alfa-Bank","description":"Universal bank offering integrated banking, brokerage and investment services within a full financial ecosystem. Developed technical documentation for automated retrieval of new securities parameters and trained support team, reducing client support requests by 4x and improving incident resolution speed. Streamlined the end-to-end process for creation of new securities in the database and enhanced representation of existing assets in client portfolios.","end_date":"May 2022","position":"Senior Analyst","start_date":"May 2021","total_months":12},{"city":"Moscow","company_name":"VTB Bank","description":"Universal commercial bank with state participation, ranked among the top 3 banks in Russia, operating across retail, corporate and capital markets. Developed detection algorithm for identifying suspicious trading activity, including insider trading, market manipulation, and AML-related anomalies. Designed and implemented a market abuse monitoring framework with detection criteria across equities, derivatives (including options), and FX markets as part of the deployment of the Check4Trick system by Forecsys Ltd.","end_date":"May 2021","position":"Senior Compliance Officer","start_date":"Dec 2017","total_months":42},{"city":"Moscow","company_name":"BINBANK","description":"Commercial bank providing retail banking and capital markets services including repo and trading operations prior to integration into a larger banking group. Developed new brokerage products and tariff structures, increasing the company's revenue by 3%. Set credit risk limits for more than 20 counterparties and clients through qualitative and quantitative financial analysis, including assessment of financial performance, industry conditions, and key indicators under both Russian reporting standards and IFRS.","end_date":"Dec 2017","position":"Repo Trader","start_date":"May 2017","total_months":7}]

quality-comparator-default-a openai/gpt-4o-mini
2026-05-19 08:13:32 71% приемлемо tg_689_Veronika_Zhemchuzhnikova_Senior_Analyst.pdf Veronika Zhemchuzhnikova run_dfadfcbecc634dbf980904ab27f0538b artifacts languages пропущено важное поле critical_misses

Field is present in reference but missing in parser output.

[{"lang":"Russian","level":"Native"},{"lang":"English","level":"C1"}]

quality-comparator-default-a openai/gpt-4o-mini
2026-05-19 08:13:32 71% приемлемо tg_689_Veronika_Zhemchuzhnikova_Senior_Analyst.pdf Veronika Zhemchuzhnikova run_dfadfcbecc634dbf980904ab27f0538b artifacts social_media неверное значение wrong_values

Parser output contains an additional non-canonical URL.

["https://www.linkedin.com/in/veronika-zhemchuzhnikova"]

["linkedin.com/in/veronika-zhemchuzhnikova", "https://www.linkedin.com/in/veronika-zhemchuzhnikova"]

quality-comparator-default-a openai/gpt-4o-mini
2026-05-19 07:40:48 89% приемлемо tg_696_Ekaterina_Novoselova_Chief_Data_and_Analytics_Officer.pdf Ekaterina Novoselova run_e630b571a9ff45fab62d0051434ff1a1 artifacts city пропущено важное поле critical_misses

Город указан неверно, в резюме указан Almaty.

Almaty

Moscow

quality-comparator-default-a openai/gpt-4o-mini
2026-05-19 07:40:48 89% приемлемо tg_696_Ekaterina_Novoselova_Chief_Data_and_Analytics_Officer.pdf Ekaterina Novoselova run_e630b571a9ff45fab62d0051434ff1a1 artifacts country пропущено важное поле critical_misses

Страна указана неверно, в резюме указана Kazakhstan.

Kazakhstan

Russia

quality-comparator-default-a openai/gpt-4o-mini
2026-05-18 23:14:30 89% приемлемо tg_666_Aniskov_Head_of_Mobile_Engineering.pdf Roman Aniskov run_348720b7bbad4c748f6cb9d4f6a7b45a artifacts city пропущено важное поле critical_misses

Город указан неверно.

Belgrade

Moscow

quality-comparator-default-a openai/gpt-4o-mini
2026-05-18 23:14:30 89% приемлемо tg_666_Aniskov_Head_of_Mobile_Engineering.pdf Roman Aniskov run_348720b7bbad4c748f6cb9d4f6a7b45a artifacts country пропущено важное поле critical_misses

Страна указана неверно.

Serbia

Russia

quality-comparator-default-a openai/gpt-4o-mini
2026-05-18 23:14:10 63% плохо tg_666_Aniskov_Head_of_Mobile_Engineering.pdf Roman Aniskov run_81415a50638742729424844fd8dc3ad1 artifacts current_company пропущено важное поле critical_misses

Field is explicitly present in reference but missing in parser output.

Arctic7

quality-comparator-default-a openai/gpt-4o-mini
2026-05-18 23:14:10 63% плохо tg_666_Aniskov_Head_of_Mobile_Engineering.pdf Roman Aniskov run_81415a50638742729424844fd8dc3ad1 artifacts about пропущено важное поле critical_misses

Field is explicitly present in reference but missing in parser output.

Head of Mobile Engineering with 12 years of experience in iOS development, architecture, and engineering leadership. Built teams from scratch, led a 30-person mobile organization across 5 squads, and delivered products from discovery to production, including launch in 4 months. Increased delivery throughput by 20%, reduced time-to-market by 30%, and built scalable delivery processes. Strong in solving complex technical challenges and turning engineering execution into business impact.

quality-comparator-default-a openai/gpt-4o-mini
2026-05-18 23:14:10 63% плохо tg_666_Aniskov_Head_of_Mobile_Engineering.pdf Roman Aniskov run_81415a50638742729424844fd8dc3ad1 artifacts city пропущено важное поле critical_misses

Field value does not match the expected value from reference.

Belgrade

Moscow

quality-comparator-default-a openai/gpt-4o-mini
2026-05-18 23:14:10 63% плохо tg_666_Aniskov_Head_of_Mobile_Engineering.pdf Roman Aniskov run_81415a50638742729424844fd8dc3ad1 artifacts country пропущено важное поле critical_misses

Field value does not match the expected value from reference.

Serbia

Russia

quality-comparator-default-a openai/gpt-4o-mini
2026-05-18 23:14:10 63% плохо tg_666_Aniskov_Head_of_Mobile_Engineering.pdf Roman Aniskov run_81415a50638742729424844fd8dc3ad1 artifacts education пропущено важное поле critical_misses

Field is explicitly present in reference but missing in parser output.

[{"degree":null,"end_year":null,"organization":"Volgograd State Technical University","specialization":"Master’s Degree in Electronics and Computer Engineering, Computer Systems and Networks","start_year":2012}]

[]

quality-comparator-default-a openai/gpt-4o-mini
2026-05-18 23:14:10 63% плохо tg_666_Aniskov_Head_of_Mobile_Engineering.pdf Roman Aniskov run_81415a50638742729424844fd8dc3ad1 artifacts languages пропущено важное поле critical_misses

Field is explicitly present in reference but missing in parser output.

[{"lang":"Russian","level":"Native"},{"lang":"English","level":"B2"},{"lang":"Serbian","level":"A2"}]

[]

quality-comparator-default-a openai/gpt-4o-mini
2026-05-18 23:14:10 63% плохо tg_666_Aniskov_Head_of_Mobile_Engineering.pdf Roman Aniskov run_81415a50638742729424844fd8dc3ad1 artifacts work_experience пропущено важное поле critical_misses

Field is explicitly present in reference but missing in parser output.

[{"city":"Remote","company_name":"Arctic7","description":"A digital engineering company delivering cross-platform technology solutions. Built and led a cross-functional team from scratch, hiring 6 engineers and establishing core delivery processes, ensuring on-time execution across 4 product phases. Architected and delivered a shared Kotlin Multiplatform SDK, reducing time to launch the next client platform from 4 months to 2 months. Owned delivery from customer discovery to first production release, launching the first version in 4 months. Delivered 4 production clients across iOS, macOS, Android, and Windows, enabling full cross-platform rollout for about 1,000 SMB accounts. Implemented CI/CD and testing workflows, reducing release preparation to 2 days and maintaining a 99.7%+ crash-free rate.","end_date":"to present","position":"Head of Mobile Engineering","start_date":"Dec 2023","total_months":null},{"city":"Moscow","company_name":"Home Credit Bank","description":"A major Russian consumer finance bank, similar to Santander Consumer Finance. Led a 30-person mobile engineering organization across 5 cross-functional squads, building a more structured leadership, mentoring, and engineer growth model. Introduced a unified prioritization model, increasing delivery throughput by 20% and reducing time-to-market by 30%. Rebuilt the hiring process, reducing time-to-hire from 3+ weeks to 5 business days and hiring 10 engineers. Improved intake and planning workflows, raising planning accuracy to 83% across about 150 product initiatives per quarter. Integrated Flagsmith into mobile applications, enabling about 30 A/B tests without additional releases.","end_date":"Dec 2023","position":"Head of Mobile Engineering","start_date":"Dec 2020","total_months":36},{"city":"Moscow","company_name":"ivi","description":"One of Russia’s leading online streaming platforms for movies and TV shows, similar to Netflix. Led technical development of 4 iOS and tvOS applications on a shared codebase, defining the platform roadmap and mentoring 3 engineers. Implemented a design system with native code generation, reducing layout time from 1 day to 2 hours and accelerating UI delivery by 2-3x. Automated build and release workflows with quality gates, reducing release preparation from 2 hours to 15 minutes. Introduced pre-release performance controls, improving stability for products with 1M MAU and 120K DAU.","end_date":"Aug 2020","position":"iOS Tech Lead","start_date":"May 2019","total_months":15},{"city":null,"company_name":null,"description":null,"end_date":"Apr 2019","position":"Senior iOS Engineer","start_date":"Apr 2016","total_months":36}]

[]

quality-comparator-default-a openai/gpt-4o-mini
2026-05-18 23:12:18 89% приемлемо tg_667_Irina_Zasenko_Data_Analyst.pdf Irina Zasenko run_f59f0186ebc54ca599ced51bd25429dc artifacts city пропущено важное поле critical_misses

Город указан неверно.

Dusseldorf

Moscow

quality-comparator-default-a openai/gpt-4o-mini
2026-05-18 23:12:18 89% приемлемо tg_667_Irina_Zasenko_Data_Analyst.pdf Irina Zasenko run_f59f0186ebc54ca599ced51bd25429dc artifacts country пропущено важное поле critical_misses

Страна указана неверно.

Germany

Russia

quality-comparator-default-a openai/gpt-4o-mini
2026-05-18 23:11:30 89% приемлемо tg_667_Irina_Zasenko_Data_Analyst.pdf Irina Zasenko run_3aef3c4272474ef58cc37538c2ed33ea artifacts city пропущено важное поле critical_misses

City is incorrectly parsed.

Dusseldorf

Moscow

quality-comparator-default-a openai/gpt-4o-mini
2026-05-18 23:11:30 89% приемлемо tg_667_Irina_Zasenko_Data_Analyst.pdf Irina Zasenko run_3aef3c4272474ef58cc37538c2ed33ea artifacts country пропущено важное поле critical_misses

Country is incorrectly parsed.

Germany

Russia

quality-comparator-default-a openai/gpt-4o-mini
2026-05-18 23:10:51 89% приемлемо tg_668_Михаил_Ледин_Chief_Technology_Officer.pdf Михаил Ледин run_e04165b508e44f24b172cdb0f4e5affc artifacts current_company пропущено важное поле critical_misses

Текущая компания отсутствует в выходных данных парсера.

Алгоритмика

quality-comparator-default-a openai/gpt-4o-mini
2026-05-18 23:10:51 89% приемлемо tg_668_Михаил_Ледин_Chief_Technology_Officer.pdf Михаил Ледин run_e04165b508e44f24b172cdb0f4e5affc artifacts work_experience пропущено важное поле critical_misses

Опыт работы отсутствует в выходных данных парсера.

Список опыта работы

quality-comparator-default-a openai/gpt-4o-mini
2026-05-18 23:08:42 89% приемлемо tg_670_Tatiana_Sedova_Technology_Business_Partner.pdf Tatiana Sedova run_9fded9c3fde44ad998ef5657ac21565d artifacts city пропущено важное поле critical_misses

City is incorrectly parsed.

Dubai

Moscow

quality-comparator-default-a openai/gpt-4o-mini
2026-05-18 23:08:42 89% приемлемо tg_670_Tatiana_Sedova_Technology_Business_Partner.pdf Tatiana Sedova run_9fded9c3fde44ad998ef5657ac21565d artifacts country пропущено важное поле critical_misses

Country is incorrectly parsed.

UAE

Russia

quality-comparator-default-a openai/gpt-4o-mini
2026-05-18 23:08:05 89% приемлемо tg_670_Tatiana_Sedova_Technology_Business_Partner.pdf Tatiana Sedova run_8ac0d6f8afb44a22bac657a3d219b8f5 artifacts city пропущено важное поле critical_misses

Город работы указан неверно.

Dubai

Moscow

quality-comparator-default-a openai/gpt-4o-mini
2026-05-18 23:08:05 89% приемлемо tg_670_Tatiana_Sedova_Technology_Business_Partner.pdf Tatiana Sedova run_8ac0d6f8afb44a22bac657a3d219b8f5 artifacts country пропущено важное поле critical_misses

Страна работы указана неверно.

UAE

Russia

quality-comparator-default-a openai/gpt-4o-mini
2026-05-18 22:57:13 84% приемлемо tg_679_Aleksandra_Kolesnikova_Head_of_Product.pdf Aleksandra Kolesnikova run_51d3f04068594e5e896a5dcbc9f708ad artifacts city пропущено важное поле critical_misses

City is explicitly mentioned in the reference but is missing in parser output.

Remote

Не указан

quality-comparator-default-a openai/gpt-4o-mini
2026-05-18 22:57:13 84% приемлемо tg_679_Aleksandra_Kolesnikova_Head_of_Product.pdf Aleksandra Kolesnikova run_51d3f04068594e5e896a5dcbc9f708ad artifacts country пропущено важное поле critical_misses

Country is explicitly mentioned in the reference but is missing in parser output.

USA

quality-comparator-default-a openai/gpt-4o-mini
2026-05-18 22:57:13 84% приемлемо tg_679_Aleksandra_Kolesnikova_Head_of_Product.pdf Aleksandra Kolesnikova run_51d3f04068594e5e896a5dcbc9f708ad artifacts current_company пропущено важное поле critical_misses

Current company is explicitly mentioned in the reference but is replaced with a placeholder in parser output.

Welltory

[КОМПАНИЯ_1]

quality-comparator-default-a openai/gpt-4o-mini
2026-05-18 22:56:39 89% приемлемо tg_679_Aleksandra_Kolesnikova_Head_of_Product.pdf Aleksandra Kolesnikova run_de46b1a88f834ffda7abcffebe45a268 artifacts city пропущено важное поле critical_misses

Город отсутствует в parser_fields, хотя он указан в reference.

Remote

Не указан

quality-comparator-default-a openai/gpt-4o-mini
2026-05-18 22:56:39 89% приемлемо tg_679_Aleksandra_Kolesnikova_Head_of_Product.pdf Aleksandra Kolesnikova run_de46b1a88f834ffda7abcffebe45a268 artifacts total_experience_months пропущено важное поле critical_misses

Общий опыт работы неправильно рассчитан, что приводит к значительному расхождению.

84

132

quality-comparator-default-a openai/gpt-4o-mini
2026-05-18 22:53:30 63% плохо tg_683_Marat_Gudkov_Product_Manager.pdf Marat Gudkov run_9065e78eb4bf4530be2564ed823e392e artifacts current_company пропущено важное поле critical_misses

current_company is missing in parser output

Manatal

quality-comparator-default-a openai/gpt-4o-mini
2026-05-18 22:53:30 63% плохо tg_683_Marat_Gudkov_Product_Manager.pdf Marat Gudkov run_9065e78eb4bf4530be2564ed823e392e artifacts city пропущено важное поле critical_misses

city is incorrect in parser output

Chiang Mai

Moscow

quality-comparator-default-a openai/gpt-4o-mini
2026-05-18 22:53:30 63% плохо tg_683_Marat_Gudkov_Product_Manager.pdf Marat Gudkov run_9065e78eb4bf4530be2564ed823e392e artifacts country пропущено важное поле critical_misses

country is incorrect in parser output

Thailand

Russia

quality-comparator-default-a openai/gpt-4o-mini
2026-05-18 22:53:30 63% плохо tg_683_Marat_Gudkov_Product_Manager.pdf Marat Gudkov run_9065e78eb4bf4530be2564ed823e392e artifacts about пропущено важное поле critical_misses

about is missing in parser output

Product Manager with 6+ years of experience across gaming and B2B SaaS, with strong expertise in product analytics. Specializes in driving growth by identifying and scaling 'Aha!' and activation moments, consistently increasing retention by more than 2%. Increased trial-to-paid conversion by 50% and retained approximately $50K in MRR by reducing churn and applying user segmentation. Built an A/B testing platform capable of comparing 10+ variants simultaneously, accelerating experimentation and reducing testing costs by 5x.

quality-comparator-default-a openai/gpt-4o-mini
2026-05-18 22:53:30 63% плохо tg_683_Marat_Gudkov_Product_Manager.pdf Marat Gudkov run_9065e78eb4bf4530be2564ed823e392e artifacts education пропущено важное поле critical_misses

education is missing in parser output

[{"degree":null,"end_year":null,"organization":"National University of Science and Technology MISIS (NUST MISIS)","specialization":"Technical Systems Management","start_year":2017}]

quality-comparator-default-a openai/gpt-4o-mini
2026-05-18 22:53:30 63% плохо tg_683_Marat_Gudkov_Product_Manager.pdf Marat Gudkov run_9065e78eb4bf4530be2564ed823e392e artifacts languages пропущено важное поле critical_misses

languages are missing in parser output

[{"lang":"Russian","level":"Native"},{"lang":"English","level":"C1"}]

quality-comparator-default-a openai/gpt-4o-mini
2026-05-18 22:53:30 63% плохо tg_683_Marat_Gudkov_Product_Manager.pdf Marat Gudkov run_9065e78eb4bf4530be2564ed823e392e artifacts work_experience пропущено важное поле critical_misses

work_experience is missing in parser output

[{"city":"Bangkok","company_name":"Manatal","description":"Global cloud ATS/CRM platform for recruitment teams across 135+ countries, used by 10,000+ hiring teams and competing with Workable and Recruitee. Implemented an automated churn outreach system, identified root causes of churn, and delivered Reporting and Automation features to production, retaining $50K MRR. Segmented users into 4 clusters using K-means analysis and optimized onboarding flows, increasing activation from 8% to 12%. Launched Enterprise Plus and monetization framework for advanced features, converting 10% of customers into higher-tier plans and increasing expansion revenue. Drove the decision to integrate a third-party multi-accounting protection solution instead of building an internal fraud prevention system, reducing development effort by 2 months. Conducted 100+ user interviews across discovery and validation phases, structuring qualitative insights and improving product decision-making.","end_date":"Jun 2024","position":"Product Manager","start_date":"Oct 2022","total_months":20},{"city":"Abu Dhabi","company_name":"Ubisoft","description":"Global AAA game studio developing large-scale live-service and mobile games. Implemented fingerprinting-based attribution after iOS ATT rollout, restoring visibility of 80% of previously untracked marketing traffic. Applied behavioral analysis using Retentioneering and SHAP values, validated user value hypotheses, and drove gameplay changes that increased Day 14 retention from 4% to 6%. Built an organic traffic uplift model using Youtube API, identified inefficient influencer marketing segments, and prevented an unprofitable strategy, saving ~$10K in spend. Analyzed real user device RAM distribution using web-scraped hardware data, reducing Out-of-Memory crash rate in the mobile client by 33%.","end_date":"Sep 2022","position":"Product Analyst","start_date":"May 2021","total_months":16},{"city":"Moscow","company_name":"Game Insight","description":"International mobile game publisher of free-to-play titles, similar to Rovio and Wooga. Developed a backend A/B testing platform based on a multi-armed bandit algorithm, enabling scalable experimentation and increasing Day 3 retention from 14% to 16% in a key live-service title. Developed personalized in-game offer algorithms using statistical and machine learning models, increasing purchase conversion by 2x across live-service games. Designed a Bayesian-based FUUU-factor model using PyMC3 to predict perceived difficulty from early player signals, reducing game balance tuning iterations to 2. Identified the 'Aha!' moment in a city-building simulator using machine learning and behavioral analysis, improving onboarding experience and increasing average session length by 2 minutes. Validated data integrity and improved logging quality across analytics systems, resolving 100+ data issues and increasing correctly logged events from 20% to 99%.","end_date":"May 2021","position":"Senior Product Analyst","start_date":"Aug 2017","total_months":46}]

quality-comparator-default-a openai/gpt-4o-mini
2026-05-18 22:50:05 68% плохо tg_690_Alisha_Meier_Senior_Manual_QA_Engineer.pdf Alisha Meier run_64141813bdf74e77984592943de7a224 artifacts current_company пропущено важное поле critical_misses

current_company is missing in parser output.

Voiso

quality-comparator-default-a openai/gpt-4o-mini
2026-05-18 22:50:05 68% плохо tg_690_Alisha_Meier_Senior_Manual_QA_Engineer.pdf Alisha Meier run_64141813bdf74e77984592943de7a224 artifacts about пропущено важное поле critical_misses

about is missing in parser output.

Senior Manual QA Engineer with over 4.5 years of experience and unique expertise in complex CRM integrations. Tested over 10 CRM systems from various vendors as the sole QA on the team, successfully delivered 32 epics with a 98% successful deployment rate, including large epics of 14-18 tasks, while closing critical security bugs within just 3 hours and identifying complex API issues that could have led to customer data loss. Uses AI tools to accelerate routine tasks, builds QA processes from scratch, and confidently takes on the most challenging emergency tasks.

quality-comparator-default-a openai/gpt-4o-mini
2026-05-18 22:50:05 68% плохо tg_690_Alisha_Meier_Senior_Manual_QA_Engineer.pdf Alisha Meier run_64141813bdf74e77984592943de7a224 artifacts city пропущено важное поле critical_misses

city value is incorrect in parser output.

Da Nang

alisha-meier-qa

quality-comparator-default-a openai/gpt-4o-mini
2026-05-18 22:50:05 68% плохо tg_690_Alisha_Meier_Senior_Manual_QA_Engineer.pdf Alisha Meier run_64141813bdf74e77984592943de7a224 artifacts education пропущено важное поле critical_misses

education is missing in parser output.

[{"degree":null,"end_year":2022,"organization":"Siberian State University of Telecommunications and Informatics","specialization":"Software Engineer","start_year":null}]

[]

quality-comparator-default-a openai/gpt-4o-mini
2026-05-18 22:50:05 68% плохо tg_690_Alisha_Meier_Senior_Manual_QA_Engineer.pdf Alisha Meier run_64141813bdf74e77984592943de7a224 artifacts languages пропущено важное поле critical_misses

languages are missing in parser output.

[{"lang":"Russian","level":"Native"},{"lang":"English","level":"B2"}]

[]

quality-comparator-default-a openai/gpt-4o-mini
2026-05-18 22:50:05 68% плохо tg_690_Alisha_Meier_Senior_Manual_QA_Engineer.pdf Alisha Meier run_64141813bdf74e77984592943de7a224 artifacts work_experience пропущено важное поле critical_misses

work_experience is missing in parser output.

[{"city":null,"company_name":"Voiso","description":"Led 32 epics as the sole QA on CRM integrations, achieving 98% successful deployments. Resolved a critical security bug within 3 hours, minimizing user risk. Identified and documented 24+ complex API bugs, preventing customer data loss. Implemented ChatGPT and Claude to generate test data, reducing test preparation time by 20%. Conducted comprehensive testing of a mobile PWA, ensuring stable production operation. Expanded the module's documentation and test suite, supporting high-quality releases.","end_date":"Apr 2026","position":"Senior QA Engineer","start_date":"Nov 2025","total_months":5},{"city":null,"company_name":null,"description":"Built a QA process for CRM integrations from scratch, establishing a comprehensive regression suite. Conducted end-to-end testing of integrations with 10+ CRM systems, ensuring product compatibility. Created 20+ detailed guides in Confluence, building a comprehensive knowledge base for CRM integrations. Regularly updated test cases and checklists, significantly increasing the module's test coverage. Led end-to-end testing of complex changes, taking full ownership with no top-down oversight.","end_date":"Nov 2025","position":"QA Engineer","start_date":"Nov 2023","total_months":24},{"city":null,"company_name":"VDcom","description":"Wrote and executed 150 test cases in two languages, delivering successful releases of three Sberbank products. Tested SQL-based data pipelines for Oracle/Hadoop, ensuring data integrity across the core platform. Created Jira bug reports, improving communication between four testers and seven developers. Managed release workflows using Git and Confluence, ensuring transparency of checklists and documentation.","end_date":"Jul 2023","position":"QA Engineer","start_date":"Oct 2022","total_months":9},{"city":null,"company_name":"Modulbank","description":"Conducted end-to-end testing of CRM and APIs to ensure product quality prior to release. Wrote 90+ test cases and executed a regression suite of 280+ cases, significantly boosting release stability. Ran SQL queries against PostgreSQL for validation, identifying backend bugs not visible in the UI.","end_date":"Sep 2022","position":"QA Engineer","start_date":"Nov 2021","total_months":10},{"city":null,"company_name":"NiDGE","description":"Built a QA process from scratch in three months as the first QA, implementing bug-tracking and reporting standards. Onboarded and mentored two junior QAs, successfully forming a functional QA team and transferring processes. Defined the testing strategy for web and mobile products, driving the transition from zero to a mature process.","end_date":"Oct 2023","position":"QA Engineer, QA Lead","start_date":"Aug 2023","total_months":2}]

[]

quality-comparator-default-a openai/gpt-4o-mini
2026-05-18 22:40:31 89% приемлемо tg_696_Ekaterina_Novoselova_Chief_Data_and_Analytics_Officer.pdf Ekaterina Novoselova run_7696e791e22a4d05afecc4ece74126c3 artifacts city пропущено важное поле critical_misses

City is incorrectly parsed.

Almaty

Moscow

quality-comparator-default-a openai/gpt-4o-mini
2026-05-18 22:40:31 89% приемлемо tg_696_Ekaterina_Novoselova_Chief_Data_and_Analytics_Officer.pdf Ekaterina Novoselova run_7696e791e22a4d05afecc4ece74126c3 artifacts country пропущено важное поле critical_misses

Country is incorrectly parsed.

Kazakhstan

Russia

quality-comparator-default-a openai/gpt-4o-mini
2026-05-18 22:35:24 89% приемлемо tg_696_Ekaterina_Novoselova_Chief_Data_and_Analytics_Officer.pdf Ekaterina Novoselova run_fc7a4bb0c4524f2b9a8406ee7bbdf8fd artifacts city пропущено важное поле critical_misses

Город указан неверно, в резюме указан Алматы.

Almaty

Moscow

quality-comparator-default-a openai/gpt-4o-mini
2026-05-18 22:35:24 89% приемлемо tg_696_Ekaterina_Novoselova_Chief_Data_and_Analytics_Officer.pdf Ekaterina Novoselova run_fc7a4bb0c4524f2b9a8406ee7bbdf8fd artifacts country пропущено важное поле critical_misses

Страна указана неверно, в резюме указана Казахстан.

Kazakhstan

Russia

quality-comparator-default-a openai/gpt-4o-mini
2026-05-18 22:23:53 74% приемлемо tg_701_Amirov_Andrei_Senior_Data_Analyst.docx.pdf Amirov Andrei run_504da9d63b1f424b9248dee6747aef53 artifacts about пропущено важное поле critical_misses

Field is present in reference but missing in parser output.

Senior Data Analyst with over 6 years of experience building commercial and product analytics. Created over 20 reports in Power BI, Tableau, and Superset, built a GMV forecasting model that improved planning accuracy by 25% while maintaining forecast precision above 85%, reduced churn by 5%, and grew the credit portfolio by 35%. Leads projects from zero to production in fast-paced FinTech and eCommerce environments, turning complex data into commercial results quickly and effectively.

quality-comparator-default-a openai/gpt-4o-mini
2026-05-18 22:23:53 74% приемлемо tg_701_Amirov_Andrei_Senior_Data_Analyst.docx.pdf Amirov Andrei run_504da9d63b1f424b9248dee6747aef53 artifacts current_company пропущено важное поле critical_misses

Field is present in reference but missing in parser output.

Alfa-Bank

quality-comparator-default-a openai/gpt-4o-mini
2026-05-18 22:23:53 74% приемлемо tg_701_Amirov_Andrei_Senior_Data_Analyst.docx.pdf Amirov Andrei run_504da9d63b1f424b9248dee6747aef53 artifacts education пропущено важное поле critical_misses

Field is present in reference but missing in parser output.

[{"degree":null,"end_year":2022,"organization":"HSE University","specialization":"Master's in Management, World Politics and World Economy","start_year":2020},{"degree":null,"end_year":2020,"organization":"MBS School of Business","specialization":"Master in Management","start_year":2019},{"degree":null,"end_year":2019,"organization":"HSE University","specialization":"Bachelor's in Economics, World Politics and World Economy","start_year":2015}]

quality-comparator-default-a openai/gpt-4o-mini
2026-05-18 22:23:53 74% приемлемо tg_701_Amirov_Andrei_Senior_Data_Analyst.docx.pdf Amirov Andrei run_504da9d63b1f424b9248dee6747aef53 artifacts work_experience пропущено важное поле critical_misses

Field is present in reference but missing in parser output.

[{"city":"Moscow","company_name":"Alfa-Bank","description":"Led a team of 4 analysts, setting KPIs and growing the department from 1 to 4 members. Ensured forecast accuracy of over 85%, providing data to C-level executives for decision-making on bids. Developed a GMV and commission profit forecasting model, improving business planning accuracy by 25%. Set up trigger systems to monitor customer churn, reducing churn by 5% and preserving billions in revenue. Integrated data models into weekly reports, delivering analytics to over 40 users. Established sprint processes for prioritization and backlog management, accelerating task completion by 30%. Conducted over 30 interviews and 20 technical assessments, participating in the hiring of analysts.","end_date":"to present","position":"Analytics Team Lead","start_date":"Jun 2025","total_months":null},{"city":null,"company_name":null,"description":"Built analytics from scratch in a new department, implementing dashboards and automation for data collection. Developed 6 Power BI dashboards, speeding up decision-making by 30% for over 70 users. Created 4 data marts, reducing reporting time by 3 hours per week. Automated partner bonus calculations, decreasing errors by 20% and implementing daily monitoring. Reorganized the dashboard structure and optimized SQL queries, reducing data processing time by 2 hours. Collaborated with 3 departments and over 20 stakeholders, revamping the department's management reporting.","end_date":"Jun 2025","position":"Senior Analyst","start_date":"Aug 2024","total_months":null},{"city":"Moscow","company_name":"T-Bank (ex. Tinkoff)","description":"Built a GMV seller forecast model, automating SME income projections with seasonal adjustments. Doubled data quality, leading to a 35% increase in the bank’s credit portfolio in monetary terms. Conducted A/B testing for marketing campaigns, increasing active clients by 7% and applications by 10%. Collaborated with product teams on non-financial services, reducing customer churn by 5%. Integrated data into market share reports, enabling daily monitoring of new loan issuance.","end_date":"Aug 2024","position":"Senior Analyst","start_date":"Nov 2022","total_months":null},{"city":"Moscow","company_name":"VTB","description":"Developed client retention initiatives using SQL, resulting in a 15% increase in commission revenue. Improved data accuracy and automated report generation, reducing presentation preparation time by 80%. Created 2 profit monitoring reports, providing analytics support to 15 account managers. Standardized the process for requirements and methodologies, minimizing operational errors.","end_date":"Sep 2022","position":"Data Analyst","start_date":"Mar 2022","total_months":null},{"city":"Moscow","company_name":"Ozon","description":"Prepared analytics for Black Friday, driving a 200% increase in total sales. Developed 3 Tableau dashboards, enabling unit economics analysis for 100+ users. Automated advertising revenue calculations using SQL, reducing reporting time by 4 hours per week. Documented all data collection processes from scratch, increasing reporting turnaround speed by 20%.","end_date":"Feb 2022","position":"Data Analyst","start_date":"Nov 2020","total_months":null}]

quality-comparator-default-a openai/gpt-4o-mini
2026-05-18 22:23:53 74% приемлемо tg_701_Amirov_Andrei_Senior_Data_Analyst.docx.pdf Amirov Andrei run_504da9d63b1f424b9248dee6747aef53 artifacts languages пропущено важное поле critical_misses

Field is present in reference but missing in parser output.

[{"lang":"Russian","level":"Native"},{"lang":"English","level":"C1"}]

quality-comparator-default-a openai/gpt-4o-mini
2026-05-18 22:21:20 73% приемлемо tg_702_Daniel_Maiboroda_Data_Analyst.pdf Daniel Maiboroda run_1776923afc2c4f8297ebef9b63c4095f artifacts current_company пропущено важное поле critical_misses

Field is explicitly present in reference but missing in parser output.

Innotech

quality-comparator-default-a openai/gpt-4o-mini
2026-05-18 22:21:20 73% приемлемо tg_702_Daniel_Maiboroda_Data_Analyst.pdf Daniel Maiboroda run_1776923afc2c4f8297ebef9b63c4095f artifacts about пропущено важное поле critical_misses

Field is explicitly present in reference but missing in parser output.

Data Analyst with 5 years of experience in FinTech, Banking, Payments, and regulatory analytics. Built a data quality monitoring system from scratch with 30+ PostgreSQL checks, resolved 500+ enterprise DWH incidents, and supported accurate reporting across 10+ payment systems. Translates complex data, business logic, and ETL flows into clear insights for faster, more reliable business decisions.

quality-comparator-default-a openai/gpt-4o-mini
2026-05-18 22:21:20 73% приемлемо tg_702_Daniel_Maiboroda_Data_Analyst.pdf Daniel Maiboroda run_1776923afc2c4f8297ebef9b63c4095f artifacts work_experience пропущено важное поле critical_misses

Field is explicitly present in reference but missing in parser output.

[{"city":null,"company_name":"Innotech","description":"Audited data quality across 3 reporting data marts, identifying and documenting 15+ critical discrepancies affecting regulatory report launch. Created 10+ reusable SQL templates, reducing recurring analytics request processing time by 40%. Documented reporting data mart logic, simplifying knowledge transfer and onboarding for new analysts.","end_date":"to present","position":"Data Analyst","start_date":"Jan 2026","total_months":null},{"city":null,"company_name":"Innotech","description":"Ensured data quality during migration from a legacy DWH to a new banking data platform, expanding validation coverage across broader sources and entities. Designed an automated data quality monitoring system from scratch with 30+ PostgreSQL checks, replacing manual reconciliation with scheduled checks, dashboards, and alerts. Built reconciliation dashboards for management and cross-functional teams, improving visibility into critical discrepancies. Optimized SQL validation queries, reducing recurring check execution time. Trained a new team member on SQL checks and incident analysis, accelerating onboarding. Developed process documentation and guidelines, standardizing incident investigation and discrepancy analysis.","end_date":"Dec 2025","position":"Data Analyst","start_date":"Feb 2024","total_months":22},{"city":null,"company_name":null,"description":"Monitored VTB’s enterprise DWH data quality across transactional, client, and payment data, improving reporting reliability. Resolved 500+ data quality incidents across multiple DWH systems, improving response time and SLA performance. Analyzed ETL pipeline anomalies and escalated issues to engineering teams, supporting root-cause investigation. Standardized incident monitoring from detection to closure, improving transparency and processing speed. Automated recurring SQL checks with dashboard uploads, eliminating manual validation activities.","end_date":"Feb 2024","position":"Data Analyst","start_date":"Jan 2023","total_months":13},{"city":null,"company_name":"QIWI","description":"Reconciled financial data across 10+ payment systems, ensuring accurate regulatory reporting and reducing audit discrepancy risks. Corrected SQL logic issues in financial reporting workflows, improving data accuracy for compliance reporting. Automated recurring SQL and Excel reports, reducing manual effort by 30-40% and accelerating reporting cycles. Participated in designing and testing audit data marts, improving analytics access and reporting consistency.","end_date":"Dec 2022","position":"Data Analyst","start_date":"Oct 2021","total_months":14}]

quality-comparator-default-a openai/gpt-4o-mini
2026-05-18 22:21:20 73% приемлемо tg_702_Daniel_Maiboroda_Data_Analyst.pdf Daniel Maiboroda run_1776923afc2c4f8297ebef9b63c4095f artifacts education пропущено важное поле critical_misses

Field is explicitly present in reference but missing in parser output.

[{"degree":"Bachelor’s Degree","end_year":2021,"organization":"Moscow Aviation Institute (National Research University)","specialization":"Electronics Engineering","start_year":null}]

quality-comparator-default-a openai/gpt-4o-mini
2026-05-18 22:21:20 73% приемлемо tg_702_Daniel_Maiboroda_Data_Analyst.pdf Daniel Maiboroda run_1776923afc2c4f8297ebef9b63c4095f artifacts country неверное значение wrong_values

Country value is incorrect.

USA

Russia

quality-comparator-default-a openai/gpt-4o-mini
2026-05-18 22:21:20 73% приемлемо tg_702_Daniel_Maiboroda_Data_Analyst.pdf Daniel Maiboroda run_1776923afc2c4f8297ebef9b63c4095f artifacts social_media неверное значение wrong_values

Social media field contains an additional URL that is not present in the reference.

["linkedin.com/in/dmaiboroda/"]

["linkedin.com/in/dmaiboroda/", "https://www.linkedin.com/in/dmaiboroda/"]

quality-comparator-default-a openai/gpt-4o-mini
2026-05-18 18:25:11 80% приемлемо resume_019.pdf Susan Armstrong run_34359cbe1ea14080a415153a25e645d3 artifacts country пропущено важное поле critical_misses

Country is incorrect.

Hawaii

Germany

quality-comparator-default-a openai/gpt-4o-mini
2026-05-18 18:25:11 80% приемлемо resume_019.pdf Susan Armstrong run_34359cbe1ea14080a415153a25e645d3 artifacts skills пропущено важное поле critical_misses

Skills list is incorrect and includes irrelevant entries.

[...] (all skills from reference)

[...] (parser has additional and incorrect skills)

quality-comparator-default-a openai/gpt-4o-mini
2026-05-18 18:25:11 80% приемлемо resume_019.pdf Susan Armstrong run_34359cbe1ea14080a415153a25e645d3 artifacts total_experience_months пропущено важное поле critical_misses

Total experience months is significantly overstated.

72

120

quality-comparator-default-a openai/gpt-4o-mini
2026-05-18 18:25:11 80% приемлемо resume_019.pdf Susan Armstrong run_34359cbe1ea14080a415153a25e645d3 artifacts work_experience пропущено важное поле critical_misses

Work experience contains incorrect positions and descriptions.

[...] (all work experience from reference)

[...] (parser has incorrect positions and descriptions)

quality-comparator-default-a openai/gpt-4o-mini
2026-05-18 18:23:46 80% приемлемо resume_019.pdf Susan Armstrong run_d2ee64d09f40408eace9b6e0d0105f62 artifacts country пропущено важное поле critical_misses

Country is incorrect.

Hawaii

Germany

quality-comparator-default-a openai/gpt-4o-mini
2026-05-18 18:23:46 80% приемлемо resume_019.pdf Susan Armstrong run_d2ee64d09f40408eace9b6e0d0105f62 artifacts skills пропущено важное поле critical_misses

Skills are incomplete and include irrelevant entries.

[...] (list of skills from reference)

[...] (list of skills from parser)

quality-comparator-default-a openai/gpt-4o-mini
2026-05-18 18:23:46 80% приемлемо resume_019.pdf Susan Armstrong run_d2ee64d09f40408eace9b6e0d0105f62 artifacts total_experience_months пропущено важное поле critical_misses

Total experience months is significantly higher than expected.

72

103

quality-comparator-default-a openai/gpt-4o-mini
2026-05-18 18:23:46 80% приемлемо resume_019.pdf Susan Armstrong run_d2ee64d09f40408eace9b6e0d0105f62 artifacts work_experience пропущено важное поле critical_misses

Work experience entries are incorrect and contain placeholders.

[...] (list of work experience from reference)

[...] (list of work experience from parser)

quality-comparator-default-a openai/gpt-4o-mini
2026-05-18 18:23:14 80% приемлемо resume_019.pdf Susan Armstrong run_59587d5d78e84dc3a8248f4ba690f869 artifacts country пропущено важное поле critical_misses

Страна указана неверно.

Hawaii

USA

quality-comparator-default-a openai/gpt-4o-mini
2026-05-18 18:23:14 80% приемлемо resume_019.pdf Susan Armstrong run_59587d5d78e84dc3a8248f4ba690f869 artifacts skills пропущено важное поле critical_misses

Некоторые навыки отсутствуют или заменены на обобщенные.

[Список навыков из резюме]

[Список навыков с ошибками]

quality-comparator-default-a openai/gpt-4o-mini
2026-05-18 18:23:14 80% приемлемо resume_019.pdf Susan Armstrong run_59587d5d78e84dc3a8248f4ba690f869 artifacts total_experience_months пропущено важное поле critical_misses

Общий опыт работы рассчитан неверно.

72

96

quality-comparator-default-a openai/gpt-4o-mini
2026-05-18 18:23:14 80% приемлемо resume_019.pdf Susan Armstrong run_59587d5d78e84dc3a8248f4ba690f869 artifacts work_experience пропущено важное поле critical_misses

Некоторые записи о работе содержат ошибки или отсутствуют.

[Список опыта работы из резюме]

[Список опыта с ошибками]

quality-comparator-default-a openai/gpt-4o-mini
2026-05-18 18:21:36 85% приемлемо resume_020.pdf Paul Ross run_1ef3619a859543129a57f25a26a74adb artifacts country пропущено важное поле critical_misses

Parser provided an incorrect country.

United Kingdom

USA

quality-comparator-default-a openai/gpt-4o-mini
2026-05-18 18:21:36 85% приемлемо resume_020.pdf Paul Ross run_1ef3619a859543129a57f25a26a74adb artifacts total_experience_months пропущено важное поле critical_misses

Parser calculated total experience incorrectly.

60

126

quality-comparator-default-a openai/gpt-4o-mini
2026-05-18 18:20:51 85% приемлемо resume_020.pdf Paul Ross run_659306309570454b88f738f364592d09 artifacts country пропущено важное поле critical_misses

Country is incorrect.

United Kingdom

USA

quality-comparator-default-a openai/gpt-4o-mini
2026-05-18 18:20:51 85% приемлемо resume_020.pdf Paul Ross run_659306309570454b88f738f364592d09 artifacts education пропущено важное поле critical_misses

Education entries are missing.

5 education entries

2 education entries

quality-comparator-default-a openai/gpt-4o-mini
2026-05-18 18:03:35 85% приемлемо resume_026.pdf Виссарион Ларионов run_f2c32689360a4099982d54597ecd5001 artifacts about пропущено важное поле critical_misses

Содержимое поля 'about' превышает ожидаемую длину и добавляет лишнюю информацию.

Lead Data Engineer с синтетическим опытом в направлении software engineering.

Lead Data Engineer с синтетическим опытом в направлении software engineering. • Нацелен на улучшение процессов в компании и прозрачную отчетность по результатам. • Умею работать в режиме многозадачности и сохранять качество результата при сжатых сроках. • Обладаю логическим мышлением, усидчивостью и вниманием к деталям. • Есть опыт взаимодействия с разными отделами и подготовки инструкций для сотрудников. • Активен, нацелен на результат и открыт к обучению и развитию в профессиональной области.

quality-comparator-default-a openai/gpt-4o-mini
2026-05-18 18:03:35 85% приемлемо resume_026.pdf Виссарион Ларионов run_f2c32689360a4099982d54597ecd5001 artifacts expected_salary пропущено важное поле critical_misses

Ожидаемая зарплата указана в резюме, но отсутствует в парсере.

217 000

quality-comparator-default-a openai/gpt-4o-mini
2026-05-18 18:03:35 85% приемлемо resume_026.pdf Виссарион Ларионов run_f2c32689360a4099982d54597ecd5001 artifacts work_experience пропущено важное поле critical_misses

Опыт работы указан в резюме, но отсутствует в парсере.

Список с опытом работы

quality-comparator-default-a openai/gpt-4o-mini
2026-05-18 17:43:14 85% приемлемо resume_031.pdf Агата Мухина run_dfba2c03405b4d92a06e8f09525305b3 artifacts expected_salary пропущено важное поле critical_misses

Ожидаемая зарплата указана в резюме, но отсутствует у парсера.

199 000

quality-comparator-default-a openai/gpt-4o-mini
2026-05-18 17:43:14 85% приемлемо resume_031.pdf Агата Мухина run_dfba2c03405b4d92a06e8f09525305b3 artifacts work_experience пропущено важное поле critical_misses

Опыт работы указан в резюме, но отсутствует у парсера.

не пусто

quality-comparator-default-a openai/gpt-4o-mini
2026-05-18 17:43:14 85% приемлемо resume_031.pdf Агата Мухина run_dfba2c03405b4d92a06e8f09525305b3 artifacts languages пропущено важное поле critical_misses

Языки указаны в резюме, но отсутствуют у парсера.

не пусто

quality-comparator-default-a openai/gpt-4o-mini
2026-05-18 17:26:31 85% приемлемо resume_035.pdf Евдокия Морозова run_475e235a022444e3aa58139b86460298 artifacts country пропущено важное поле critical_misses

Country is incorrect.

Россия

Кыргызстан

quality-comparator-default-a openai/gpt-4o-mini
2026-05-18 17:26:31 85% приемлемо resume_035.pdf Евдокия Морозова run_475e235a022444e3aa58139b86460298 artifacts current_company пропущено важное поле critical_misses

Current company is missing.

Finora Labs

[ИМЯ]

quality-comparator-default-a openai/gpt-4o-mini
2026-05-18 17:26:31 85% приемлемо resume_035.pdf Евдокия Морозова run_475e235a022444e3aa58139b86460298 artifacts expected_salary пропущено важное поле critical_misses

Expected salary is missing.

232 000

quality-comparator-default-a openai/gpt-4o-mini
2026-05-18 17:00:17 85% приемлемо resume_042.pdf Радислав Дементьев run_b43ed610bb9e41b7acc2e97d78156f8e artifacts expected_salary пропущено важное поле critical_misses

Ожидаемая зарплата отсутствует.

362 000

quality-comparator-default-a openai/gpt-4o-mini
2026-05-18 17:00:17 85% приемлемо resume_042.pdf Радислав Дементьев run_b43ed610bb9e41b7acc2e97d78156f8e artifacts about неверное значение wrong_values

Содержимое поля не соответствует ожидаемому.

Операционный менеджер с синтетическим опытом в направлении operations.

• Есть опыт взаимодействия с разными отделами и подготовки инструкций для сотрудников. • Умею находить нестандартные подходы к решению задач и генерировать новые идеи. • Активен, нацелен на результат и открыт к обучению и развитию в профессиональной области. • Ответственно выполняю трудовые обязанности и дополнительные поручения руководителя. • Коммуникабельный, умею работать в команде и договариваться со смежными отделами.

quality-comparator-default-a openai/gpt-4o-mini
2026-05-18 17:00:17 85% приемлемо resume_042.pdf Радислав Дементьев run_b43ed610bb9e41b7acc2e97d78156f8e artifacts total_experience_months неверное значение wrong_values

Общий опыт работы значительно превышает ожидаемое значение.

60

126

quality-comparator-default-a openai/gpt-4o-mini
2026-05-18 16:54:25 89% приемлемо resume_044.pdf Парфен Дмитриев run_a0d758ff4d924cfe9467244492fa0a05 artifacts total_experience_months пропущено важное поле critical_misses

Общий опыт работы превышает ожидаемое значение.

120

132

quality-comparator-default-a openai/gpt-4o-mini
2026-05-18 16:54:25 89% приемлемо resume_044.pdf Парфен Дмитриев run_a0d758ff4d924cfe9467244492fa0a05 artifacts expected_salary пропущено важное поле critical_misses

Ожидаемая зарплата отсутствует.

260 000

quality-comparator-default-a openai/gpt-4o-mini
2026-05-18 16:54:25 89% приемлемо resume_044.pdf Парфен Дмитриев run_a0d758ff4d924cfe9467244492fa0a05 artifacts about неверное значение wrong_values

Содержит дополнительные предложения, не указанные в reference.

Junior Инженер-программист с синтетическим опытом в направлении software engineering.

Junior Инженер-программист с синтетическим опытом в направлении software engineering. • Умею находить нестандартные подходы к решению задач и генерировать новые идеи. • Есть опыт взаимодействия с разными отделами и подготовки инструкций для сотрудников. • Нацелен на улучшение процессов в компании и прозрачную отчетность по результатам. • Активен, нацелен на результат и открыт к обучению и развитию в профессиональной области.

quality-comparator-default-a openai/gpt-4o-mini
2026-05-18 16:21:33 85% приемлемо resume_052.pdf Shawn Martinez run_bebc30756b4e49edb670456e0bc2a03c artifacts total_experience_months пропущено важное поле critical_misses

Parser calculated total experience incorrectly, exceeding the expected value.

72

108

quality-comparator-default-a openai/gpt-4o-mini
2026-05-18 16:21:33 85% приемлемо resume_052.pdf Shawn Martinez run_bebc30756b4e49edb670456e0bc2a03c artifacts work_experience пропущено важное поле critical_misses

Parser provided incorrect work experience details, including incorrect dates and total months.

[{"city": null, "company_name": "Northline Systems", "description": "Owned software engineering responsibilities for a synthetic business unit.; Improved reporting and collaboration using MS Office and CI/CD.", "end_date": "present", "position": "Data Engineer", "start_date": "01.2020", "total_months": null}, {"city": null, "company_name": "Northline Systems", "description": "Led cross-functional initiatives with measurable operational impact.; Prepared weekly status updates, documentation, and stakeholder summaries.", "end_date": "12.2019", "position": "Software Engineer", "start_date": "01.2017", "total_months": null}, {"city": null, "company_name": "Brightmark Digital", "description": "Led cross-functional initiatives with measurable operational impact.; Prepared weekly status updates, documentation, and stakeholder summaries.", "end_date": "12.2018", "position": "Backend Developer", "start_date": "02.2016", "total_months": null}, {"city": null, "company_name": "Mosaic Retail Group", "description": "Led cross-functional initiatives with measurable operational impact.; Prepared weekly status updates, documentation, and stakeholder summaries.", "end_date": "12.2017", "position": "Data Engineer", "start_date": "03.2015", "total_months": null}, {"city": null, "company_name": "Brightmark Digital", "description": "Led cross-functional initiatives with measurable operational impact.; Prepared weekly status updates, documentation, and stakeholder summaries.", "end_date": "12.2016", "position": "Data Engineer", "start_date": "04.2014", "total_months": null}, {"city": null, "company_name": "Atlas Medical Services", "description": "Led cross-functional initiatives with measurable operational impact.; Prepared weekly status updates, documentation, and stakeholder summaries.", "end_date": "12.2015", "position": "Software Engineer", "start_date": "05.2013", "total_months": null}]

[{"city": null, "company_name": "Northline Systems", "description": "Owned software engineering responsibilities for a synthetic business unit. Improved reporting and collaboration using MS Office and CI/CD. Coordinated cross-functional work and documented measurable outcomes.", "end_date": null, "position": "Data Engineer", "start_date": "2020-01", "total_months": 45}, {"city": null, "company_name": "Northline Systems", "description": "Led cross-functional initiatives with measurable operational impact. Prepared weekly status updates, documentation, and stakeholder summaries. Improved repeatable team processes using MS Office.", "end_date": "2019-12", "position": "Software Engineer", "start_date": "2017-01", "total_months": 36}, {"city": null, "company_name": "Brightmark Digital", "description": "Led cross-functional initiatives with measurable operational impact. Prepared weekly status updates, documentation, and stakeholder summaries. Improved repeatable team processes using MS Office.", "end_date": "2018-12", "position": "Backend Developer", "start_date": "2016-02", "total_months": 34}, {"city": null, "company_name": "Mosaic Retail Group", "description": "Led cross-functional initiatives with measurable operational impact. Prepared weekly status updates, documentation, and stakeholder summaries. Improved repeatable team processes using MS Office.", "end_date": "2017-12", "position": "Data Engineer", "start_date": "2015-03", "total_months": 34}, {"city": null, "company_name": "Brightmark Digital", "description": "Led cross-functional initiatives with measurable operational impact. Prepared weekly status updates, documentation, and stakeholder summaries. Improved repeatable team processes using MS Office.", "end_date": "2016-12", "position": "Data Engineer", "start_date": "2014-04", "total_months": 32}, {"city": null, "company_name": "Atlas Medical Services", "description": "Led cross-functional initiatives with measurable operational impact. Prepared weekly status updates, documentation, and stakeholder summaries. Improved repeatable team processes using MS Office.", "end_date": "2015-12", "position": "Software Engineer", "start_date": "2013-05", "total_months": 31}]

quality-comparator-default-a openai/gpt-4o-mini
2026-05-18 16:17:47 85% приемлемо resume_054.pdf Юлия Ефимова run_c63992c7f8ec49b688c69a095702894a artifacts about пропущено важное поле critical_misses

Содержимое поля отличается от ожидаемого.

Manager HR-специалист с синтетическим опытом в направлении hr.

• Умею находить нестандартные подходы к решению задач и генерировать новые идеи. • Активен, нацелен на результат и открыт к обучению и развитию в профессиональной области. • Обладаю логическим мышлением, усидчивостью и вниманием к деталям. • Умею работать в режиме многозадачности и сохранять качество результата при сжатых сроках.

quality-comparator-default-a openai/gpt-4o-mini
2026-05-18 16:17:47 85% приемлемо resume_054.pdf Юлия Ефимова run_c63992c7f8ec49b688c69a095702894a artifacts total_experience_months пропущено важное поле critical_misses

Общий опыт работы значительно превышает ожидаемое значение.

72

298

quality-comparator-default-a openai/gpt-4o-mini
2026-05-18 16:16:02 85% приемлемо resume_054.pdf Юлия Ефимова run_a285cac651ec4a5fb345ace7cba8006d artifacts about пропущено важное поле critical_misses

Описание не соответствует ожиданиям.

Manager HR-специалист с синтетическим опытом в направлении hr.

• Умею находить нестандартные подходы к решению задач и генерировать новые идеи. • Активен, нацелен на результат и открыт к обучению и развитию в профессиональной области. • Обладаю логическим мышлением, усидчивостью и вниманием к деталям. • Умею работать в режиме многозадачности и сохранять качество результата при сжатых сроках.

quality-comparator-default-a openai/gpt-4o-mini
2026-05-18 16:16:02 85% приемлемо resume_054.pdf Юлия Ефимова run_a285cac651ec4a5fb345ace7cba8006d artifacts total_experience_months пропущено важное поле critical_misses

Общий опыт работы значительно превышает указанный в резюме.

72

115

quality-comparator-default-a openai/gpt-4o-mini
2026-05-18 16:15:38 85% приемлемо resume_054.pdf Юлия Ефимова run_2aad44866e0c4d85b5964d6053899784 artifacts about пропущено важное поле critical_misses

About section is completely different from the reference.

Manager HR-специалист с синтетическим опытом в направлении hr.

• Умею находить нестандартные подходы к решению задач и генерировать новые идеи. • Активен, нацелен на результат и открыт к обучению и развитию в профессиональной области. • Обладаю логическим мышлением, усидчивостью и вниманием к деталям. • Умею работать в режиме многозадачности и сохранять качество результата при сжатых сроках.

quality-comparator-default-a openai/gpt-4o-mini
2026-05-18 16:15:38 85% приемлемо resume_054.pdf Юлия Ефимова run_2aad44866e0c4d85b5964d6053899784 artifacts total_experience_months пропущено важное поле critical_misses

Total experience months is significantly higher than expected.

72

114

quality-comparator-default-a openai/gpt-4o-mini
2026-05-18 16:14:52 85% приемлемо resume_054.pdf Юлия Ефимова run_e2834be0e5ca4be49d9a6a120c29429f artifacts about пропущено важное поле critical_misses

Описание не соответствует оригиналу.

Manager HR-специалист с синтетическим опытом в направлении hr.

• Умею находить нестандартные подходы к решению задач и генерировать новые идеи. • Активен, нацелен на результат и открыт к обучению и развитию в профессиональной области. • Обладаю логическим мышлением, усидчивостью и вниманием к деталям. • Умею работать в режиме многозадачности и сохранять качество результата при сжатых сроках.

quality-comparator-default-a openai/gpt-4o-mini
2026-05-18 16:14:52 85% приемлемо resume_054.pdf Юлия Ефимова run_e2834be0e5ca4be49d9a6a120c29429f artifacts total_experience_months пропущено важное поле critical_misses

Общий опыт работы рассчитан неверно.

72

108

quality-comparator-default-a openai/gpt-4o-mini
2026-05-18 16:09:54 80% приемлемо resume_056.pdf Мечислав Чернов run_3b44d04abb9f4d7da39c12c3a373dbaf artifacts social_media пропущено важное поле critical_misses

social_media отсутствует в parser_fields, хотя есть в reference

["https://portfolio.synthetic.example/056", "https://linkedin.synthetic.example/in/056"]

quality-comparator-default-a openai/gpt-4o-mini
2026-05-18 16:09:54 80% приемлемо resume_056.pdf Мечислав Чернов run_3b44d04abb9f4d7da39c12c3a373dbaf artifacts work_experience пропущено важное поле critical_misses

work_experience отсутствует в parser_fields, хотя есть в reference

[{"city": null, "company_name": "Clearstep Logistics", "description": "Вел(а) задачи роли Финансовый аналитик для синтетического бизнес-направления.; Улучшил(а) отчетность и взаимодействие команд с помощью Публичные выступления и Training materials.", "end_date": null, "position": "Финансовый аналитик", "start_date": "01.2020", "total_months": 45}, {"city": null, "company_name": "Northline Systems", "description": "Вел(а) кросс-функциональные инициативы с измеримым операционным эффектом.; Готовил(а) еженедельные статусы, документацию и сводки для руководителей.", "end_date": "12.2019", "position": "Финансовый менеджер", "start_date": "01.2017", "total_months": 36}, {"city": null, "company_name": "Brightmark Digital", "description": "Вел(а) кросс-функциональные инициативы с измеримым операционным эффектом.; Готовил(а) еженедельные статусы, документацию и сводки для руководителей.", "end_date": "12.2018", "position": "Финансовый аналитик", "start_date": "02.2016", "total_months": 34}, {"city": null, "company_name": "Mosaic Retail Group", "description": "Вел(а) кросс-функциональные инициативы с измеримым операционным эффектом.; Готовил(а) еженедельные статусы, документацию и сводки для руководителей.", "end_date": "12.2017", "position": "Бухгалтер", "start_date": "03.2015", "total_months": 34}, {"city": null, "company_name": "Mosaic Retail Group", "description": "Вел(а) кросс-функциональные инициативы с измеримым операционным эффектом.; Готовил(а) еженедельные статусы, документацию и сводки для руководителей.", "end_date": "12.2016", "position": "Финансовый аналитик", "start_date": "04.2014", "total_months": 32}, {"city": null, "company_name": "Northline Systems", "description": "Вел(а) кросс-функциональные инициативы с измеримым операционным эффектом.; Готовил(а) еженедельные статусы, документацию и сводки для руководителей.", "end_date": "12.2015", "position": "Финансовый менеджер", "start_date": "05.2013", "total_months": 31}, {"city": null, "company_name": "Atlas Medical Services", "description": "Вел(а) кросс-функциональные инициативы с измеримым операционным эффектом.; Готовил(а) еженедельные статусы, документацию и сводки для руководителей.", "end_date": "12.2014", "position": "Бухгалтер", "start_date": "06.2012", "total_months": 30}, {"city": null, "company_name": "Brightmark Digital", "description": "Вел(а) кросс-функциональные инициативы с измеримым операционным эффектом.; Готовил(а) еженедельные статусы, документацию и сводки для руководителей.", "end_date": "12.2013", "position": "Финансовый менеджер", "start_date": "07.2011", "total_months": 30}]

quality-comparator-default-a openai/gpt-4o-mini
2026-05-18 16:09:54 80% приемлемо resume_056.pdf Мечислав Чернов run_3b44d04abb9f4d7da39c12c3a373dbaf artifacts education[2].degree неверное значение wrong_values

Отсутствует степень для онлайн-курса

Онлайн-курс

quality-comparator-default-a openai/gpt-4o-mini
2026-05-18 16:09:54 80% приемлемо resume_056.pdf Мечислав Чернов run_3b44d04abb9f4d7da39c12c3a373dbaf artifacts education[4].degree неверное значение wrong_values

Отсутствует степень для курсов повышения квалификации

Курсы повышения квалификации

quality-comparator-default-a openai/gpt-4o-mini
2026-05-18 16:09:54 80% приемлемо resume_056.pdf Мечислав Чернов run_3b44d04abb9f4d7da39c12c3a373dbaf artifacts languages неверное значение wrong_values

Отсутствуют языки, указанные в reference

[{"lang": "Spanish", "level": "intermediate"}, {"lang": "German", "level": "intermediate"}, {"lang": "Kazakh", "level": "basic"}, {"lang": "English", "level": "upper-intermediate"}, {"lang": "Russian", "level": "native"}, {"lang": "Chinese", "level": "basic"}, {"lang": "Turkish", "level": "basic"}]

[{"lang": "Turkish", "level": "basic"}]

quality-comparator-default-a openai/gpt-4o-mini