Nikas Belogolov

Data Scientist

https://talent.gravityer.com/nikas-belogolov

Member since June 26, 2026

Key Strengths

Demonstrated proficiency in C++ and Python, which are foundational for Data Science.
Experience with Jupyter Notebook, a key tool for data exploration and model development.
Developed a personal machine learning library (stratosml) in C++, indicating a deep interest and understanding of ML fundamentals.
Project 'leaknet' suggests practical application of data science concepts.
Exposure to embedded systems (ESP32 projects) and low-level programming (Assembly, CMake) indicates a broad technical aptitude.

Cultural & Operational Fit

Cultural Fit Analysis

The candidate's personal projects demonstrate a strong initiative and passion for technology, including machine learning, embedded systems, and game development. This indicates a self-starter who is eager to learn and build. The diversity of projects, from web technologies to low-level C++, suggests adaptability and a broad technical curiosity. While the target role is Data Scientist, the candidate's background shows a strong engineering foundation that could be beneficial. However, without specific team-based project experience or direct cultural assessment, a full cultural fit analysis is limited.

Soft Skills & Operational Fit

Insufficient data to assess soft skills or operational fit. The candidate's project descriptions are concise and technical, but do not provide insight into collaboration, problem-solving approach, or communication style in a team setting.

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Evaluating your skill match against the job requirements…

Assessing your cultural and operational fit

Projects

portfolio

February 6, 2026 – Present

portfolio — Dev.to repository

View Project

garden-sketch

December 13, 2025 – December 17, 2025

garden-sketch — Dev.to repository

View Project

leak-detection-system

November 24, 2025 – November 24, 2025

leak-detection-system — Dev.to repository

View Project

leak-detection-system-esp32

November 15, 2025 – November 15, 2025

leak-detection-system-esp32 — Dev.to repository

View Project

leaknet

November 7, 2025 – November 9, 2025

leaknet — Dev.to repository

View Project

esp-nanopb

April 11, 2025 – April 11, 2025

esp-nanopb — Dev.to repository

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esp-ble-prov

March 26, 2025 – Present

ESP32 WiFi Provisioning library over WebBluetooth

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stratosml

September 3, 2024 – September 4, 2024

Machine learning library written in C++

View Project

2048.c

August 10, 2024 – August 10, 2024

The game 2048 written in C for the terminal.

View Project

terminal-chess

June 14, 2024 – Present

The game of chess written in C for the terminal.

View Project

Key Strengths

Demonstrated proficiency in C++ and Python, which are foundational for Data Science.
Experience with Jupyter Notebook, a key tool for data exploration and model development.
Developed a personal machine learning library (stratosml) in C++, indicating a deep interest and understanding of ML fundamentals.
Project 'leaknet' suggests practical application of data science concepts.
Exposure to embedded systems (ESP32 projects) and low-level programming (Assembly, CMake) indicates a broad technical aptitude.

Cultural & Operational Fit

Cultural Fit Analysis

Soft Skills & Operational Fit

Nikas Belogolov

Key Strengths

Cultural & Operational Fit

Top Skills

Skills

Projects

Key Strengths

Cultural & Operational Fit