Dmitry Kondratev

Data Scientist

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

Blockchain Engineer

Member since June 29, 2026

Key Strengths

Demonstrated interest in quantitative fields through projects like 'math-statistics', 'economic-decision-theory', and 'econometrics'.
Experience with Python and Jupyter Notebook, which are foundational for Data Science.
Exposure to various programming languages (Java, Python, C++, Objective C) indicates adaptability.

Cultural & Operational Fit

Cultural Fit Analysis

The candidate's personal projects show a strong inclination towards academic and theoretical problem-solving, particularly in mathematics, statistics, and economics. This aligns well with the analytical nature of a Data Scientist role. The diversity of programming languages used across projects suggests a willingness to learn and adapt, which is a positive indicator for cultural fit in a dynamic environment. However, the lack of team-based projects or professional experience makes it difficult to fully assess collaboration and broader cultural alignment.

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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Projects

reactor

December 25, 2025 – December 25, 2025

reactor — GitHub repository

View Project

events-processing

March 4, 2024 – March 4, 2024

events-processing — GitHub repository

View Project

computational-geometry

March 15, 2022 – March 24, 2022

Lab's solutions

View Project

econometrics

March 18, 2021 – June 2, 2021

Labs for subject of econometrics

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economic-decision-theory

December 1, 2020 – February 5, 2021

Labs for subject of economic decision theory

View Project

math-statistics

May 19, 2020 – October 15, 2020

Lab work on mathematical statistics

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text-editor

March 24, 2020 – October 6, 2020

Simple text editor

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simplex-method

March 22, 2020 – April 30, 2021

Implementation of the simplex method

View Project

Key Strengths

Demonstrated interest in quantitative fields through projects like 'math-statistics', 'economic-decision-theory', and 'econometrics'.
Experience with Python and Jupyter Notebook, which are foundational for Data Science.
Exposure to various programming languages (Java, Python, C++, Objective C) indicates adaptability.

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.

Dmitry Kondratev

Key Strengths

Cultural & Operational Fit

Top Skills

Skills

Projects

Key Strengths

Cultural & Operational Fit