Ondřej Zacha

Data Scientist

Amsterdam, North Holland, Netherlands
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Summary

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Senior
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Top School
Ondřej Zacha is a data scientist and AI engineer based in Amsterdam with nine years of experience applying econometrics and quantitative methods to real-world problems. He holds an MSc in Econometrics and Quantitative Economics from the University of Amsterdam and a Bc. in Economics and Finance from Charles University, with additional study at Universität Konstanz, giving him a strong foundation in both theory and applied modeling. Ondřej blends statistical rigor with practical machine learning engineering to build robust, data-driven solutions and is comfortable spanning from model development to deployment. He emphasizes interpretable, economically grounded approaches to AI, often bridging the gap between business stakeholders and technical teams. An analytical thinker with a finance background, he brings an unusually strong sense for causal inference and quantitative validation to typical machine-learning workflows.
code9 years of coding experience
bookMaster of Science (MSc), Econometrics and Quantitative Economics, Master of Science (MSc), Econometrics and Quantitative Economics at University of Amsterdam
bookUniversität Konstanz
bookBakalář (Bc.), Ekonomie a finance, Bakalář (Bc.), Ekonomie a finance at Univerzita Karlova v Praze
languagesDutch, German, Czech, English
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1,322reputation
78kreached
44answers
0questions
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Github Skills (87)

python10
kedro10
mlops10
modular10
pipeline10
science10
machine-learning10
pandas9
cli9
shell9
refactoring9
manipulation9
data-science9
database8
sql8

Programming languages (5)

JavaShellRJupyter NotebookPython

Github contributions (5)

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ondrejzacha/volco

Dec 2022 - Mar 2025

A small, specialised Volumio controller
Contributions:24 PRs, 42 pushes, 24 branches in 2 years 3 months
ondrejzacha/kedro

Sep 2023 - Mar 2024

Kedro is a toolbox for production-ready data science. It uses software engineering best practices to help you create data engineering and data science pipelines that are reproducible, maintainable, and modular.
Contributions:19 pushes, 4 branches in 6 months
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Ondřej Zacha - Data Scientist