Michal Siwek
Data Science Manager
Piaseczno, Masovian Voivodeship, Poland
Summary
👤
Senior🎓
Top SchoolMichal Siwek is a Data Science Manager with 11 years of experience building ML products and leading teams to deploy research-grade models into production at scale. He blends strong foundations in quantitative economics, statistics, computer science and scientific methodology to deliver solutions that address concrete business needs, particularly in NLP, data cleaning and forecasting. At Mercer he progressed from hands-on data scientist to manager, shipping CI/CD-backed pipelines using Python, TensorFlow, Spark and Docker while enforcing software engineering best practices. He has a track record of creating team workflows, running internal trainings, and architecting solutions for international FMCG clients earlier in his career. Michal also contributes to educational open-source work—improving and expanding the well-known "numpy-100" exercises by adding alternative solutions and pandas references—reflecting his emphasis on clarity and reproducible code. Based in Piaseczno, Poland, he combines academic rigor (ongoing PhD-level methodology studies and multidisciplinary degrees) with pragmatic product delivery.
11 years of coding experience
6 years of employment as a software developer
Research Master in Economics, Research Master in Economics at Université catholique de LouvainBachelor's degree, Computer Science, Bachelor's degree, Computer Science at Poznan University of TechnologyMaster's degree, Philosophy, Master's degree, Philosophy at Uniwersytet im. Adama Mickiewicza w PoznaniuInternational Economics, International Economics at University of Warsaw
English, Polish
Stackoverflow
1reputation
0reached
0answers
0questions
Github Skills (7)
python10
exe10
numpy10
routines10
notebook9
pandas8
data-analysis6
Programming languages (4)
Github contributions (5)
rougier/numpy-100
Aug 2016 - Dec 2016
100 numpy exercises (with solutions)
Role in this project:
Data Scientist
Data ScientistContributions:11 commits, 11 PRs, 16 comments in 3 months
Contributions summary:Michal primarily contributed to improving and expanding the existing NumPy exercises. Their work focused on correcting solutions, adding alternative implementations for existing exercises, and providing additional context and explanations. The user also incorporated Pandas solutions as references, further enhancing the learning resources. Their changes involved modifying the notebook's code and adding comments to improve readability and understanding of the exercises.
pythonnumpynotebooknumpy-exercisesbinder
ibah/aie4
Aug 2024 - Sep 2024
Contributions:42 pushes, 1 branch in 1 month
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