Matthieu Mazzolini is a Data Team Lead based in Paris with nine years of experience applying machine learning to remote sensing, graph analysis, and security telemetry. He progressed from intern to senior data scientist at Kayrros, building methane detection and attribution products that combine ML, weather models, and satellite imagery, and now leads data efforts at CrowdSec, a community-driven open-source IPS. Matthieu blends strong applied math training from ENS Paris-Saclay and Paris-Dauphine with hands-on engineering—developing APIs, graph algorithms, and deep learning models for production. He has a track record of turning noisy geospatial and time-series data into operational insights and scalable products. Outside work he channels analytical curiosity into climbing and cycling, reflecting a taste for endurance challenges both on models and mountains.
9 years of coding experience
7 years of employment as a software developer
Master’s Degree, Mathematics and Data Science, Master’s Degree, Mathematics and Data Science at ENS Paris-Saclay
Bachelor’s Degree, Applied Mathematics, Bachelor’s Degree, Applied Mathematics at Lund University
Master’s Degree, Applied Mathematics, Master’s Degree, Applied Mathematics at Université Paris Dauphine - PSL
Contributions:5 PRs, 3 pushes, 3 branches in 2 years 4 months
apipythonmetabase-apipython-wrappermetabase
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