Summary
Mélanie Finas is a Lead Data Scientist based in Toulouse with a decade of experience delivering end-to-end analytics and AI projects across aerospace, defense, manufacturing and utilities. She combines strong technical chops in Python, NLP, graph databases and cloud platforms (Azure, AWS, Foundry) with consulting-grade project leadership, having led industrial deployments from anomaly detection on factory lines to energy and planning optimization for global plants. A former Managing Consultant at Capgemini Invent, she has a track record of translating complex business needs into measurable KPIs and ROI-driven models, including Neo4j/Postgres knowledge-graph work for clinical trial partner discovery. Her background from École Polytechnique and ENSAE underpins a methodical, research-minded approach that repeatedly moves prototypes into production in regulated environments. Notably, she blends ontology-driven engineering with practical MLOps—an uncommon mix that helps bridge domain semantics and scalable model delivery.
10 years of coding experience
8 years of employment as a software developer
ENSAE Paris
Master of Science (MSc) Datascience, Master of Science (MSc) Datascience at École Polytechnique
Classe préparatoire MPSI/MP*, Classe préparatoire MPSI/MP* at Lycée Louis le Grand