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Galiev Gleb | Gravity Talent Portal

Galiev Gleb

Galiev Gleb

Data Scientist

https://talent.gravityer.com/galiev-gleb

Member since June 28, 2026

AI is analyzing your overall score…

Identifying your key strengths…

Evaluating your skill match against the job requirements…

Assessing your cultural and operational fit

https://talent.gravityer.com/galiev-gleb

Top Skills

C++CSSPythonHTMLtypescriptJavaScriptJupyter Notebook

Skills

C++CSSPythonHTMLtypescriptJavaScriptJupyter Notebook

Projects

invest_calc

November 7, 2025 – November 7, 2025

💰 Калькулятор финансовой независимости с учетом инфляции

for_chek_task

March 16, 2025 – December 5, 2025

for_chek_task — GitHub repository

test_task

November 25, 2024 – November 25, 2024

test_task — GitHub repository

c

October 26, 2023 – October 26, 2023

c — GitHub repository

test-task-api

August 18, 2023 – August 21, 2023

test-task-api — GitHub repository

Practic-Authomatic

August 10, 2023 – August 30, 2023

Practic-Authomatic — GitHub repository

GalievGleb

July 22, 2023 – Present

GalievGleb — GitHub repository

zlabs-auto-test-screen

July 6, 2023 – August 6, 2023

zlabs-auto-test-screen — GitHub repository

python-sat-19-00

July 1, 2023 – December 16, 2023

Учебная группа. Суббота 19-00

embedded-server

May 25, 2022 – January 26, 2023

A Server based on ESP32 serving BLE and Web over network for ZARNITZA company

Key Strengths

Demonstrated personal project initiative with various technologies.
Experience with Python, which is foundational for Data Science.
Exposure to Jupyter Notebook, a common tool in Data Science workflows.

Cultural & Operational Fit

Cultural Fit Analysis

The candidate's projects are primarily personal and show a breadth of interest in different technologies (C++, Python, JavaScript, HTML, CSS). However, the direct alignment with a 'Data Scientist' role is limited, with only a few projects hinting at data-related tasks (e.g., 'invest_calc' and 'python-sat-19-00' with Jupyter Notebook). The diversity of projects suggests a willingness to explore, but a lack of focused data science projects might indicate a need for more targeted experience.

Soft Skills & Operational Fit

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