Summary
Lewis Hounkpevi is a Data Science Manager based in Paris with nine years of experience delivering analytics and ML solutions across consulting and in-house roles. He blends hands-on modelling (GBM, RF, XGBoost, deep learning) with strong emphasis on interpretable methods—PCA/CA, statistical testing, time series, sampling and text mining—to turn complex data into actionable insights. A seasoned R expert and trainer who also codes in Python, SQL and Spark, he has built production tooling (R packages, Dockerized Shiny portals) and automated reporting pipelines at organizations from Renault and Eni to UNEDIC and SantéVet. Comfortable at the intersection of technical delivery and pedagogy, he’s frequently led knowledge transfer, internal tooling and visualization efforts that democratize analytics across business teams. An early career in econometrics and large-scale survey work explains his enduring focus on sound statistical practice alongside predictive modelling.
9 years of coding experience
9 years of employment as a software developer
Ingénieur des Travaux de Planification Economie Statistique Gestion de projets Suivi-Evaluation, Ingénieur des Travaux de Planification Economie Statistique Gestion de projets Suivi-Evaluation at Ecole Nationale d'Economie Appliquée et de Management (ENEAM)
Master's degree Economie quantitative/ Ingénierie Statistique, Master's degree Economie quantitative/ Ingénierie Statistique at CY Cergy Paris Université
English, French, mina, fon