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 atHelloFresh🍋 in Berlin office.
• Previously I worked a senior data scientist atEdison⚡ 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 representingISO Week date in two formats: weekYYYY-WNN and week dateYYYY-WNN-D.

• Timebasedcv: a python library that provides a cross validation strategies based onactual datetime values instead of indexes, of course compatible with scikit-learn cross validation API.

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

• Deczoo: azoo 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 onlinkedin.

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1. narwhals-dev/narwhalsnarwhals-dev/narwhalsPublic

   Lightweight and extensible compatibility layer between dataframe libraries!

   Python 904 135

2. koaning/scikit-legokoaning/scikit-legoPublic

   Extra blocks for scikit-learn pipelines.

   Python 1.3k 122

3. timebasedcvtimebasedcvPublic

   Time based splits for cross validation

   Python 38 1

4. sklearn-smithysklearn-smithyPublic

   Toolkit to forge scikit-learn compatible estimators

   Python 18

5. iso-week-dateiso-week-datePublic

   Toolkit to work with str representing ISO Week date format

   Python 6

6. moin-moinmoin-moinPublic

   Empowering Communities to Build Better Cities

   Python 3