Felix Patzelt
Senior Data Scientist
Greater Hamburg Area Germany
Summary
👤
Senior🎓
Top SchoolFelix Patzelt is a Senior Data Scientist with eight years of experience applying machine learning, optimization, and quantitative research to mobility and energy challenges, currently driving smart charging optimization at Rabot Energy. Trained as a physicist with a doctorate and research stints in neuroscience and quantitative finance, he blends rigorous modeling, production-grade ML deployment, and scientific curiosity to improve user experience, resource efficiency, and profitability. At MOIA he led demand and supply modelling, built interpretable deep-learning forecasts, and shipped self-service tools that reduced planning overhead while also supporting policy and legal efforts with data-driven evidence. Felix is comfortable across the stack—from AWS operations and data pipelines to optimisation engines—and he often looks beyond algorithms to the surrounding processes and incentives that determine real-world impact.
9 years of coding experience
7 years of employment as a software developer
Doktor der Naturwissenschaften (Dr. rer. nat.) Physics, Doktor der Naturwissenschaften (Dr. rer. nat.) Physics at University of Bremen
German, English, French
Github Skills (53)
noise-generator10
scientific-publications9
python9
time-series9
linear-models9
modeling8
developer-tools8
pipeline8
sql8
artificial-intelligence8
data-science8
reactive8
dataflow8
binning7
jupyter7
Programming languages (4)
Github contributions (5)
felixpatzelt/binny
Jun 2018 - Dec 2022
Python package for smart binning of one-dimensional data and calculating conditional expectation values.
Contributions:3 PRs, 7 pushes, 4 branches in 4 years 6 months
binningpython
felixpatzelt/statistics-for-everyone
Aug 2020 - Aug 2025
A statistics mini-course with a practical focus. For a broad audience, including those who didn't do any math in years.
Contributions:23 PRs, 60 pushes, 27 branches in 5 years 1 month
statisticsaltairpythonstatistical-analysis
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