I am a data scientist with 5+ 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:

• Narwhals: an extremely lightweight compatibility layer between Polars, pandas, Modin, cuDF, pyarrow (and more!). I am a core maintainer since Apr. 2024. Narwhals has ~10M downloads a month.

• 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. scikit-lego has 20k+ downloads a month

• ISO Week Date: 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.

• 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.

• Compclasses: a python utility library to simplify composition (over inheritance).

• Deczoo: a zoo for python decorators, a collection of decorators used on a daily basis.

• 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.