Ivan Tambovtsev

Data Scientist

https://talent.gravityer.com/ivan-tambovtsev

Reykjavík, Capital Region, IcelandMember since June 30, 2026

Key Strengths

Demonstrated proficiency in Python through multiple personal projects.
Experience with data parsing and post-processing, relevant for data science workflows.
Exposure to various tools and libraries like Jupyter Notebook, indicating practical data handling experience.

Cultural & Operational Fit

Cultural Fit Analysis

The candidate's personal projects show a strong inclination towards self-driven learning and exploration across different domains (chemistry, simulations, IoT). This indicates a proactive and curious mindset, which can be a positive cultural fit for roles requiring continuous learning and problem-solving. However, the projects are primarily personal and lack team collaboration context, making it difficult to fully assess collaborative cultural fit.

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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Assessing your cultural and operational fit

Projects

ikea_head_lamp

December 27, 2025 – December 27, 2025

Ikea ISKÄRNA lamp ESP32 MQTT

View Project

knitvis

February 27, 2025 – April 7, 2025

knitvis — GitHub repository

View Project

nx_ase

February 19, 2025 – September 24, 2025

nx_ase — GitHub repository

View Project

pyquizhub

January 2, 2025 – December 11, 2025

pyquizhub — GitHub repository

View Project

sic-scaling

December 22, 2024 – May 23, 2025

sic-scaling — GitHub repository

View Project

private_data_interaction

December 13, 2024 – September 24, 2025

private_data_interaction — GitHub repository

View Project

pyflowy

April 3, 2024 – March 27, 2025

Python bindings for Flowy

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ChemParse

March 12, 2024 – October 22, 2025

ORCA .out, GPAW .txt parser and many more

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chem_utils

October 2, 2023 – January 20, 2025

chem_utils — GitHub repository

View Project

hari-plotter

September 19, 2023 – August 20, 2024

Post-processing and plotting of Seldon simulations.

View Project

Key Strengths

Demonstrated proficiency in Python through multiple personal projects.
Experience with data parsing and post-processing, relevant for data science workflows.
Exposure to various tools and libraries like Jupyter Notebook, indicating practical data handling experience.

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.

Ivan Tambovtsev

Key Strengths

Cultural & Operational Fit

Top Skills

Skills

Projects

Key Strengths

Cultural & Operational Fit