Nikolay Nikolov

Data Scientist

https://talent.gravityer.com/nikolay-nikolov

London, England, United KingdomMember since June 26, 2026

Key Strengths

Demonstrated interest in Reinforcement Learning and Object Recognition through personal projects.
Experience with Python, a core language for Data Science.
Exposure to various programming paradigms and low-level languages (C++, Assembly) indicates strong foundational technical aptitude.

Cultural & Operational Fit

Cultural Fit Analysis

The candidate's projects show a strong inclination towards personal, self-directed learning and exploration across diverse technical domains, including embedded systems, compilers, and robotics. This suggests a proactive and curious individual. However, the projects are predominantly low-level or research-oriented, and while relevant to general technical aptitude, their direct alignment with a 'Data Scientist' role is limited without further context or dedicated data science projects beyond 'rltf' and 'ILikeFridgesBack'. The breadth of technologies (C++, Assembly, Python, Matlab, Shell, Lua) indicates adaptability but also a potential lack of deep specialization in core data science tools and methodologies.

Soft Skills & Operational Fit

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

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Projects

wheels

August 19, 2024 – August 20, 2024

wheels — GitHub repository

View Project

linuxconf

January 27, 2023 – Present

linuxconf — GitHub repository

View Project

rltf

December 19, 2018 – April 28, 2019

Reinforcement Learning implementations and research prototyping in TensorFlow

View Project

mbed-rtos

April 19, 2017 – March 8, 2020

RTOS for mbed

View Project

ODriveFirmware

January 18, 2017 – February 1, 2017

ODriveFirmware — GitHub repository

View Project

ILikeFridgesBack

September 16, 2016 – September 18, 2016

ILikeFridgesBack — GitHub repository

View Project

slackbuilds

August 26, 2016 – February 17, 2024

Slackware Linux system packages

View Project

uknao

June 26, 2016 – June 26, 2016

Object recognition and language translation for NAO/Pepper robot

View Project

c_compiler

February 3, 2016 – March 26, 2016

Compiler from C to MIPS

View Project

libdnx

September 4, 2015 – April 9, 2017

libdnx — GitHub repository

View Project

Key Strengths

Demonstrated interest in Reinforcement Learning and Object Recognition through personal projects.
Experience with Python, a core language for Data Science.
Exposure to various programming paradigms and low-level languages (C++, Assembly) indicates strong foundational technical 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 are available.

Nikolay Nikolov

Key Strengths

Cultural & Operational Fit

Top Skills

Skills

Projects

Key Strengths

Cultural & Operational Fit