Nikita Demashov

Data Scientist

https://talent.gravityer.com/nikita-demashov

Nizhny NovgorodMember since June 29, 2026

Key Strengths

Demonstrated interest in data structures and algorithms through personal projects like 'algorithms-cource' and 'Aho-Corasick'.
Experience with Python and Jupyter Notebook, relevant for Data Scientist roles, as seen in 'diplom_tvm' and 'DS-lab1'.
Exposure to parallel computing concepts with Cuda and pthreads, indicating an understanding of performance optimization.

Cultural & Operational Fit

Cultural Fit Analysis

The candidate's personal projects show initiative and a self-driven learning approach. The diversity of technologies (Cuda, C++, Python, Ruby) suggests adaptability. However, the lack of team-based projects or professional experience makes it difficult to fully assess cultural fit within a collaborative environment.

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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Evaluating your skill match against the job requirements…

Assessing your cultural and operational fit

Projects

Cuda-multithreading

December 18, 2022 – December 21, 2022

Cuda-multithreading — GitHub repository

View Project

diplom_tvm

December 14, 2022 – June 27, 2023

diplom_tvm — GitHub repository

View Project

MatMul-with-pthread

December 1, 2022 – December 12, 2022

MatMul-with-pthread — GitHub repository

View Project

DS-lab1

October 7, 2022 – October 15, 2022

DS-lab1 — GitHub repository

View Project

Aho-Corasick

June 4, 2022 – June 6, 2022

Aho-Corasick — GitHub repository

View Project

Library-with-using-database

December 9, 2021 – December 19, 2021

Library-with-using-database — GitHub repository

View Project

algorithms-cource

October 11, 2020 – October 13, 2020

algorithms-cource — GitHub repository

View Project

github-slideshow

May 15, 2020 – April 12, 2023

A robot powered training repository :robot:

View Project

Key Strengths

Demonstrated interest in data structures and algorithms through personal projects like 'algorithms-cource' and 'Aho-Corasick'.
Experience with Python and Jupyter Notebook, relevant for Data Scientist roles, as seen in 'diplom_tvm' and 'DS-lab1'.
Exposure to parallel computing concepts with Cuda and pthreads, indicating an understanding of performance optimization.

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.

Nikita Demashov

Key Strengths

Cultural & Operational Fit

Top Skills

Skills

Projects

Key Strengths

Cultural & Operational Fit