Francesco Bruzzesi
Data Science Tech Lead
Berlin, Germany
Summary
🤩
Rockstar🎓
Top SchoolFrancesco Bruzzesi is a Data Science Tech Lead based in Berlin with 7+ years of experience applying mathematical rigor to production analytics and ML at companies like HelloFresh and Edison. Trained with dual MSc degrees in mathematics from Milan and Duisburg-Essen, he favors simple, scalable, and interpretable solutions over unnecessary complexity, translating theory into reliable product impact. He combines hands-on backend engineering—contributing to major open-source work in plotly.py and Plotly Express around dataframe handling, time zones, and trendline features—with leadership in cross-functional teams. As an active PyData volunteer and open-source maintainer, he brings both community-minded collaboration and practical code craftsmanship to data platforms. Notably, his background as a mathematician informs a penchant for elegant, well-founded approaches to messy real-world data problems.
7 years of coding experience
7 years of employment as a software developer
University of MilanBachelor of Science - BS, Mathematics, Bachelor of Science - BS, Mathematics at Alma Mater Studiorum – Università di BolognaMaster's degree, Mathematics, Master's degree, Mathematics at University of Duisburg-Essen
Italian, English
Stackoverflow
6,469reputation
572kreached
314answers
3questions
python
top-5%
pandas
top-5%
numpy
top-5%
Github Skills (16)
pandas10
python10
numpy9
data-analysis9
data-visualisation9
data-visualization9
data-visualizations9
pytorch6
machine-learning6
scipy6
matrix6
vectorization6
multidimensional-arrays6
linear-algebra6
scikit-learn6
Programming languages (5)
Github contributions (5)
plotly/plotly.py
Apr 2021 - Feb 2025
The interactive graphing library for Python :sparkles:
Role in this project:
Back-end Developer
Back-end DeveloperContributions:54 reviews, 4 PRs, 80 comments in 3 years 11 months
Contributions summary:Francesco contributed to the `plotly.py` library by implementing and modifying features within the `plotly.express` module. Their work included adjustments to trendline functions, specifically related to the integration of Narwhals (a potential backend for data handling). Further contributions involved handling time zone related data and improvements to various dataframe operations. The user also performed refactoring related to dataframe handling.
pythonjupyter-notebookchartingplotlyjsexpress
FBruzzesi/atp_stats_webapp
Nov 2020 - Apr 2022
App for Tennis Analytics
Contributions:1 review, 75 commits, 8 PRs in 1 year 5 months
tennistennis-analytics
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