Yaroslav Khnykov

Data Scientist

https://talent.gravityer.com/yaroslav-khnykov

MoscowMember since June 30, 2026

Key Strengths

Demonstrated interest and experience in Machine Learning and Data Science through multiple personal projects (YandexCup2024-ML-Music-IR, YandexCup2023-ML-RecSys, HardML, MADE, made-gan-api).
Proficiency in Python, a core language for Data Science.
Experience with Jupyter Notebooks for data exploration and model development.
Exposure to various ML domains including Music IR, Recommendation Systems, and GANs.
Involvement in competitive programming/hackathons (YandexCup, moretech5.0) indicates problem-solving aptitude.

Cultural & Operational Fit

Cultural Fit Analysis

The candidate's project history, particularly participation in YandexCup and MADE, suggests an interest in challenging technical environments and continuous learning, which could align well with a culture of innovation. However, the projects are predominantly personal, making it difficult to assess team collaboration or broader cultural fit. The diversity of technologies (Python, Scala, C++, TypeScript, HTML, JavaScript, CSS, Dockerfile) indicates a willingness to explore different areas, which can be a positive for adaptability.

Soft Skills & Operational Fit

Insufficient data to assess soft skills or operational fit. No psychometric test results or interview feedback provided.

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Projects

YandexCup2024-ML-Music-IR

November 6, 2024 – November 6, 2024

YandexCup2024-ML-Music-IR — GitHub repository

View Project

YandexCup2023-ML-RecSys

October 24, 2023 – November 14, 2023

YandexCup2023-ML-RecSys — GitHub repository

View Project

moretech5.0

October 14, 2023 – October 15, 2023

moretech5.0 — GitHub repository

View Project

HardML

March 25, 2023 – March 26, 2023

HardML — GitHub repository

View Project

made-gan-api

October 30, 2021 – December 22, 2021

Repo for Image generation GAN API

View Project

zingykizz

April 10, 2021 – June 23, 2021

zingykizz — GitHub repository

View Project

MADE

September 21, 2020 – December 1, 2021

Академия больших данных MADE

View Project

Key Strengths

Demonstrated interest and experience in Machine Learning and Data Science through multiple personal projects (YandexCup2024-ML-Music-IR, YandexCup2023-ML-RecSys, HardML, MADE, made-gan-api).
Proficiency in Python, a core language for Data Science.
Experience with Jupyter Notebooks for data exploration and model development.
Exposure to various ML domains including Music IR, Recommendation Systems, and GANs.
Involvement in competitive programming/hackathons (YandexCup, moretech5.0) indicates problem-solving aptitude.

Cultural & Operational Fit

Cultural Fit Analysis

Soft Skills & Operational Fit

Insufficient data to assess soft skills or operational fit. No psychometric test results or interview feedback provided.

Yaroslav Khnykov

Key Strengths

Cultural & Operational Fit

Top Skills

Skills

Projects

Key Strengths

Cultural & Operational Fit