Dmitry Karavaev

Data Scientist

https://talent.gravityer.com/dmitry-karavaev

St. Petersburg, RussiaMember since June 25, 2026

Key Strengths

Demonstrated interest in data science and related fields through personal projects.
Proficiency in Python and Jupyter Notebook, essential for Data Scientist roles.
Experience with various mathematical and scientific computing tools (Matlab, TeX, C++).

Cultural & Operational Fit

Cultural Fit Analysis

The candidate's personal projects show a strong inclination towards scientific computing, data analysis, and algorithm implementation, which aligns well with a Data Scientist role. The diversity of projects, from BitTorrent client to fractal drawing, indicates a broad intellectual curiosity and a self-starter attitude. However, the lack of professional experience or team-based projects makes it difficult to assess collaboration or cultural integration.

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

ccs-interp

November 27, 2024 – February 24, 2025

ccs-interp — GitHub repository

View Project

bitgo

December 7, 2022 – June 6, 2023

Simple BitTorrent client in Go (based on https://blog.jse.li/posts/torrent/)

View Project

dsss-rcnn

November 27, 2022 – November 27, 2022

dsss-rcnn — GitHub repository

View Project

wavelet-ccnn

February 8, 2020 – November 28, 2022

wavelet-ccnn — GitHub repository

View Project

bonch-dsp-faculty

October 7, 2019 – December 16, 2019

bonch-dsp-faculty — GitHub repository

View Project

c6678-docs

August 2, 2019 – September 5, 2019

TI TMS320C6678 References

View Project

neurodyn

February 7, 2018 – May 7, 2018

neurodyn — GitHub repository

View Project

algs-stepik

March 8, 2017 – March 8, 2017

Solutions for Stepik Algorithms Course

View Project

fractal-draw

December 20, 2016 – December 21, 2016

Simple fractal machine

View Project

December 8, 2016 – December 16, 2016

Stochastic Programming tasks

View Project

Key Strengths

Demonstrated interest in data science and related fields through personal projects.
Proficiency in Python and Jupyter Notebook, essential for Data Scientist roles.
Experience with various mathematical and scientific computing tools (Matlab, TeX, C++).

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.

Dmitry Karavaev

Key Strengths

Cultural & Operational Fit

Top Skills

Skills

Projects

Key Strengths

Cultural & Operational Fit