Summary
Clément Cisterne is a data scientist with 10 years of experience building end-to-end data solutions across industry and research settings, currently working at Université de Limoges after roles at Airbus Helicopters and Sanofi. He blends applied machine learning (XGBoost, LSTM, scikit-learn) with practical data engineering—ETL, AWS S3/Glue, Talend and industrial platforms like Skywise—to deliver productionized pipelines and decision-ready dashboards. His background includes ERP integration, automation with VBA and PowerShell, and measurable operational impact (e.g., productivity and energy-management gains at Sanofi). Comfortable collaborating with cross-functional teams, he translates business problems into reproducible analytics and industrialized processes. Based in Lyon with a strong academic foundation from Montpellier (MIASHS), he brings both hands-on implementation skills and a systems view of data quality and interoperability. An engineer who moves from prototyping to maintenance, he often focuses on improving data traceability and reuse beyond initial models.
10 years of coding experience
4 years of employment as a software developer
Licence Professionnelle Progiciels et Systèmes de Gestion Intégrés Informatique, Licence Professionnelle Progiciels et Systèmes de Gestion Intégrés Informatique at University of Montpellier
Master MIASHS 2ème année Mathématiques et informatique, Master MIASHS 2ème année Mathématiques et informatique at Université de Montpellier Paul-Valéry
DUT Informatique, DUT Informatique at IUT MONTPELLIER-SETE
French, Italian, English