Summary
Fabrice Jourdan is a seasoned data scientist with eight years of focused experience and over a decade working with data-driven projects, currently leading POC design, statistical analysis and ML solutions at the French Ministère de l'Intérieur. He combines strong production engineering roots—from PHP development and large-scale data migrations at Meetic—to applied machine learning for detection, classification and clustering, and has helped shape a data science practice and its infrastructure. Comfortable across the full lifecycle (data ingestion, quality KPIs, modeling and stakeholder-facing metrics), he has a pragmatic bent for automating quality controls and operationalizing models. Trained in physics with a Data Science certification from École Polytechnique Executive Education, he brings rigorous scientific thinking to messy, real-world datasets and a track record of migrating and managing billions of records. An often-overlooked strength is his long history of mentoring and process improvement dating back to early developer-management roles, which helps translate technical work into measurable organizational impact.
8 years of coding experience
12 years of employment as a software developer
Certification, Data Science Starter Program, Certification, Data Science Starter Program at Ecole Polytechnique Executive Education
Maîtrise, Physique fondamentale, Mention Bien, Maîtrise, Physique fondamentale, Mention Bien at Université Pierre et Marie Curie
DEA, Physique Nucléaire et des Particules, Mention Bien, DEA, Physique Nucléaire et des Particules, Mention Bien at Institut de Physique Nucléaire
English