Michał Gacka

Data Scientist

https://talent.gravityer.com/michal-gacka-1

Software engineer working with machine learning, LLMs, and web development

Warsaw

Key Strengths

Demonstrated interest in Data Science and Machine Learning through personal projects like 'protein-dihedral-angles-prediction', 'visual-attention-cnn-and-eye-tracking', and 'cnns-and-transfer-learning-for-furniture-recognition'.
Proficiency in Python and Jupyter Notebook, essential tools for Data Scientists.
Experience with CNNs and transfer learning, indicating familiarity with deep learning techniques.

Cultural & Operational Fit

Cultural Fit Analysis

The candidate's project portfolio shows a strong inclination towards personal projects, including some related to social impact (e.g., 'help4ua.org-frontend'). This suggests a self-driven individual who might align well with organizations fostering autonomy and purpose-driven work. However, the lack of team-based or professional experience makes it difficult to fully assess collaboration and broader cultural fit.

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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Projects

feelinglucky

May 20, 2026 – Present

feelinglucky — repository

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contactish

January 25, 2026 – Present

contactish — repository

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help4ua.org-frontend

February 25, 2022 – March 15, 2022

help4ua.org - the project was created to connect people who help with those in need.

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covid19-coronavirus-react-visualization

March 11, 2020 – January 7, 2023

Visualizing coronavirus covid-19 cases and deaths on a map with time travel + infection trajectory comparison

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cobudget

November 25, 2019 – Present

Participatory budgeting

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klimatpodden

August 24, 2019 – Present

Website for Klimatpodden. Built with Next.js and NetlifyCMS

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protein-dihedral-angles-prediction

October 26, 2018 – November 20, 2019

A hybrid approach to protein structure (dihedral / torsional angles) prediction using techniques from Mohammed AlQuraishi's work on End-to-end differentiable learning of protein structure and Gao et al. on RaptorX.

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visual-attention-cnn-and-eye-tracking

October 20, 2018 – December 23, 2022

Comparing human visual attention with CNN attention.

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cnns-and-transfer-learning-for-furniture-recognition

May 4, 2018 – December 18, 2018

Group work on iMaterialist image recognition competitions hosted on Kaggle for Large Scale Data Analysis course at University of Copenhagen.

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google_cloud_storage_upload

May 26, 2017 – May 26, 2017

A Python module able to authenticate a client to Google Cloud Storage and perform simple upload and making the file public.

View Project

Key Strengths

Demonstrated interest in Data Science and Machine Learning through personal projects like 'protein-dihedral-angles-prediction', 'visual-attention-cnn-and-eye-tracking', and 'cnns-and-transfer-learning-for-furniture-recognition'.
Proficiency in Python and Jupyter Notebook, essential tools for Data Scientists.
Experience with CNNs and transfer learning, indicating familiarity with deep learning techniques.

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.

Michał Gacka

Key Strengths

Cultural & Operational Fit

Top Skills

Skills

Projects

Key Strengths

Cultural & Operational Fit