Michael Marino
Munich, Bavaria, Germany
Summary
🤩
Rockstar🎓
Top SchoolMichael Marino is Head of Data Science based in Munich with 18 years of experience translating complex quantitative problems into product-ready solutions. He holds a PhD in Physics from the University of Washington and dual bachelor's degrees in Physics and Philosophy from Notre Dame, blending rigorous analytical rigor with clear conceptual thinking. Michael has deep hands-on experience in data engineering and time-series analytics, evidenced by notable contributions to the widely used pandas library—implementing ISO calendar accessors and fixing ISO 8601 parsing bugs. At tado° he leads data science strategy and execution, bridging research-grade modeling with scalable production systems for connected-home applications. Colleagues rely on him for pragmatic technical leadership that balances code quality, product impact, and maintainability. He brings an uncommon combination of academic depth, open-source stewardship, and applied business focus to data-driven product teams.
18 years of coding experience
8 years of employment as a software developer
Doctor of Philosophy (Ph.D.) Physics, Doctor of Philosophy (Ph.D.) Physics at University of WashingtonBachelor's Degree Philosophy, Bachelor's Degree Philosophy at University of Notre Dame
English, German
Stackoverflow
1,080reputation
103kreached
9answers
0questions
wxwidgets
top-5%
Github Skills (12)
pandas10
python10
data-science10
numpy10
data-analysis10
iso9
wxwidgets9
cython7
amazon-athena6
pyspark6
nas6
synology6
Programming languages (12)
Github contributions (5)
pandas-dev/pandas
Apr 2020 - Oct 2020
Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more
Role in this project:
Data Scientist
Data ScientistContributions:4 reviews, 9 commits, 11 PRs in 6 months
Contributions summary:Michael primarily contributed to the enhancement and maintenance of the pandas library, focusing on datetime-related functionalities. Key contributions include implementing the `isocalendar` accessor for DatetimeIndex and Series, which calculates ISO 8601 year, week, and day components. They also fixed a bug related to parsing ISO 8601 durations. Furthermore, the user deprecated the `week` and `weekofyear` attributes and refactored code for consistency.
data-analysisdata-structuredata-structurespythonpandas
nEDM-TUM/DTACQ
Feb 2015 - May 2016
Contributions:96 commits, 25 pushes, 3 branches in 1 year 2 months
readout
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