I am a data scientist with 6+ years of experience, a mathematician by training, a passionate learner and an open source enthusiast.
I have in depth experience working on tabular data, time series, Bayesian statistic and mathematical optimization. I tend to prefer simple, scalable and understandable solutions as opposed to over-complex models when not necessary to bring value.
- Currently, I am a data scientist at HelloFresh🍋 in Berlin office.
- Previously I worked a senior data scientist at Edison⚡ one of the leading Italian electric utility company. Here I was involved maily on mid and down stream projects on tabular data, time series, anomaly detection, and optimization.
When I have some spare time on weekends I maintain few projects:
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Narwhals: an extremely lightweight compatibility layer between Polars, pandas, Modin, cuDF, pyarrow (and more!). I am a core maintainer since Apr. 2024 (27M+ downloads a month).
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scikit-lego: since Sept. 2023 I am a maintainer of the project. The goal of the package is to allow to joyfully build new building blocks that are scikit-learn compatible (30k+ downloads a month).
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iso-week-date is a toolkit to work with strings representing ISO Week date in two formats: week YYYY-WNN and week date YYYY-WNN-D (50k+ downloads a month).
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Timebasedcv: a python library that provides a cross validation strategies based on actual datetime values instead of indexes, of course compatible with scikit-learn cross validation API.
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Compclasses: a python utility library to simplify composition (over inheritance).
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Deczoo: a zoo for python decorators, a collection of decorators used on a daily basis.
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ATP Stats is a webapp providing tennis analytics and insights in a more colorful and intuitive manner with respect to the official ATP Tour.
The best way it to find me on linkedin.