Dmitriy Belskiy

Data Scientist

https://talent.gravityer.com/dmitriy-belskiy-1

Software engineer MIPT bs HSE ms

Member since June 29, 2026

Key Strengths

Demonstrated interest in Machine Learning and Data Science through personal projects.
Experience with Python and Jupyter Notebook, relevant for Data Scientist roles.
Exposure to C++ development, indicating a strong foundational programming background.

Cultural & Operational Fit

Cultural Fit Analysis

The candidate's projects show a strong inclination towards personal learning and exploration in various technical domains (ML, C++ systems). This indicates a self-starter mentality. However, the lack of team projects or professional experience makes it difficult to fully assess cultural fit in a collaborative environment. The project diversity is good, but direct alignment with a senior Data Scientist role is limited to a few projects.

Soft Skills & Operational Fit

Insufficient data to assess soft skills or operational fit. The psychometric test score is 0, providing no insights.

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Evaluating your skill match against the job requirements…

Assessing your cultural and operational fit

Projects

dmitriy-belskiy-it

January 18, 2026 – Present

dmitriy-belskiy-it — GitHub repository

View Project

invest_alphas

April 5, 2025 – June 19, 2025

Investment alphas backtesting service

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itmo_megaschool

January 31, 2025 – January 31, 2025

ITMO MegaSchool

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Ring-Buffer

May 28, 2024 – May 28, 2024

Cache optimized shared memory ring buffer

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LruCache

April 13, 2024 – April 13, 2024

C++ LruCache implementation

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ImageInfo

April 13, 2024 – April 13, 2024

nothings/stb stb_image.h with both dimensions image info and ppu

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MachineLearning

January 28, 2024 – January 28, 2024

Machine Learning MIPT course

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October 20, 2023 – October 20, 2023

1C test task

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ClientServerExchange

July 4, 2023 – July 10, 2023

Простая USD/RUB биржа с клиент-серверной архитектурой

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Gwint

April 9, 2022 – August 2, 2022

Gwint project TP edu

View Project

Key Strengths

Demonstrated interest in Machine Learning and Data Science through personal projects.
Experience with Python and Jupyter Notebook, relevant for Data Scientist roles.
Exposure to C++ development, indicating a strong foundational programming background.

Cultural & Operational Fit

Cultural Fit Analysis

Soft Skills & Operational Fit

Insufficient data to assess soft skills or operational fit. The psychometric test score is 0, providing no insights.

Dmitriy Belskiy

Key Strengths

Cultural & Operational Fit

Top Skills

Skills

Projects

Key Strengths

Cultural & Operational Fit