Florian Wetschoreck
Self Employed
Heidelberg, Baden-Württemberg, Germany
Summary
🤩
Rockstar🎓
Top SchoolFlorian Wetschoreck is an engineering manager and former founder with a decade of experience building data products, BI platforms, and developer-focused Python tools. Based in Heidelberg, he led the creation and growth of 8080 Labs’ open-source projects (notably bamboolib and pyforest) before joining Databricks and now heads Business Intelligence at Medbelle, where he modernizes seven years of analytics infrastructure and leads a tight-knit analytics engineering team. He combines hands‑on full‑stack development—implementing custom pandas GUI features and Jupyter integrations—with strategic product and go‑to‑market experience from multiple startups and an exit. Known for translating practical needs into productivity tools, he accelerates typical EDA workflows by an order of magnitude while mentoring executives and founders as a business angel and coach. A pragmatic optimist who achieved early financial independence, he seeks work that balances measurable impact with personal purpose.
10 years of coding experience
Master of Science (M.Sc.) Business and Engineering, Master of Science (M.Sc.) Business and Engineering at Karlsruhe Institute of Technology (KIT)
german - c2, english - c1, mandarin chinese - hsk3 / b1
Github Skills (19)
algorithm10
pytest10
python10
scikit10
pandas10
machine-learning-algorithms10
jupyterlab10
scikit-learn10
jupyter-notebook10
data-analysis10
testing9
ipywidgets9
javascript8
back-end-development7
front-end-development7
Programming languages (6)
Github contributions (5)
8080labs/ppscore
Apr 2020 - Oct 2022
Predictive Power Score (PPS) in Python
Role in this project:
Data Scientist
Data ScientistContributions:86 commits, 4 PRs, 47 pushes in 2 years 6 months
Contributions summary:Florian primarily contributed to the core functionality of the `ppscore` library. Their commits focused on adjusting and improving the `calculation.py` file, which includes the implementation of the Predictive Power Score (PPS) algorithm. They added tests, improved the normalization of the MAE score, and refactored the code to improve readability and maintainability, indicating a strong understanding of the algorithm and its implementation.
pythonmachine-learningppspredictivecorrelation
8080labs/pyforest
Aug 2019 - Aug 2020
pyforest - feel the bliss of automated imports
Role in this project:Full-stack Developer
Full-stack DeveloperContributions:74 commits, 7 PRs, 22 pushes in 1 year
Contributions summary:Florian significantly contributed to the pyforest project, focusing on enhancing its functionality and user experience. They implemented core features like the ability to make `Importables` callable and refactored the import logic. They also added integration tests and worked on the Jupyter Notebook and Jupyter Lab extensions, demonstrating a solid understanding of both frontend and backend aspects of the project. The user further improved the project by adjusting the import statements and modifying the installation process.
importspythonbliss
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