Daniel Ponikowski

Senior Data Scientist

Warsaw, Masovian Voivodeship, Poland
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Summary

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Senior
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Top School
Daniel Ponikowski is a Senior Data Scientist and mathematician with 7 years of experience building end-to-end ML solutions across marketing mix modeling, churn and CLV prediction, recommender systems, and NLP. He blends rigorous academic training with hands-on production work at companies like Samsung and InPost, regularly applying both classic techniques (XGBoost) and modern deep-learning and gen-AI approaches. Daniel emphasizes translating business requirements into robust data models and carefully engineered training datasets, and he has a track record of proposing and delivering non-standard solutions and PoCs that push projects beyond typical approaches. His background includes research on anomaly detection, few-shot tabular learning, transfer learning, and LLM security, reflecting a curiosity for cutting-edge methods as well as practical impact. Based in Warsaw, he also brings experience building reusable tooling—such as an R package for seasonal sales modeling—and communicating results through stakeholder demos and trainings.
code7 years of coding experience
job5 years of employment as a software developer
bookLicencjat (Lic.) Matematyka, Licencjat (Lic.) Matematyka at Wrocław University of Science and Technology
bookstudia podyplomowe Big Data - przetwarzanie i analiza dużych zbiorów danych, studia podyplomowe Big Data - przetwarzanie i analiza dużych zbiorów danych at Warsaw University of Technology
languagesEnglish, Polish
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Github Skills (3)

interpretable-machine-learning9
machine-learning6
data-science5

Programming languages (1)

Jupyter Notebook

Github contributions (5)

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Lecture notes for 'Interpretable Machine Learning' at WUW and UW. Summer semester 2018/2019
Contributions:14 PRs, 47 pushes in 3 months
notesdata-sciencemachinelearningmachine-learningsemester
kaletap/Stack-Exchange-R

Dec 2018 - Mar 2019

Contributions:38 pushes in 2 months
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Daniel Ponikowski - Senior Data Scientist