Riccardo Cappuzzo
Research And Development Engineer at skrub
Saclay, Île-de-France, France
Summary
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Rockstar🎓
Top SchoolRiccardo Cappuzzo is a research and development engineer with 11 years of experience at the intersection of machine learning and databases, currently working at Inria and contributing to the skrub project. He holds a PhD in Data Science from EURECOM/Sorbonne Université and a strong academic foundation from Politecnico di Torino and Télécom Paris, bringing rigorous research methods to practical system-building. Proficient in Python for eight years, he blends expertise in data tooling (Pandas, Polars, Matplotlib) with hands-on experience in PyTorch and networkx to optimize ML performance on large, heterogeneous datasets. A natural data collector and analyst, Riccardo enjoys turning messy experimental or recreational data into clear insights and has become adept at reviving legacy codebases common in research. He is pivoting his career toward environment-adjacent applications, seeking roles that leverage his cross-disciplinary skills to deliver impactful, scalable solutions.
11 years of coding experience
Doctor of Philosophy - PhD, Doctor of Philosophy - PhD at Sorbonne UniversitéMaster's degree, Master's degree at Télécom ParisMaster's degree, Master's degree at EURECOMLaurea Magistrale LM (Master's degree), Laurea Magistrale LM (Master's degree) at Politecnico di Torino
Stackoverflow
277reputation
11kreached
4answers
13questions
Github Skills (53)
python10
data-science10
scikit10
statistics10
machine-learning10
feature-engineering10
autoencoder10
data-preprocessing10
data-cleaning10
dirty-data10
tabular10
scikit-learn10
data-wrangling10
data-analysis10
pytorch9
Programming languages (5)
Github contributions (5)
rcap107/embdi
Nov 2022 - Aug 2024
EmbDI is a table embeddings algorithm that solves data integration problems by converting tabular data into graphs, then applying word2vec to the graph to obtain embeddings.
Contributions:1 release, 3 PRs, 41 pushes in 1 year 10 months
rcap107/skrub
Oct 2024 - Apr 2025
Prepping tables for machine learning
Contributions:160 pushes, 19 branches in 5 months
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