Christophe Moinet

Christophe Moinet is an experienced data scientist with a strong background in statistical analysis, programming, and project management across various sectors, notably rail safety at EPSF since July 2018. Prior to this role, Christophe held positions such as Senior Data Scientist at Ipsos MORI, focusing on audience measurement for outdoor advertising, and Data Miner for Velvet Consulting, where expertise in SAS applications was developed for the pharmaceutical industry. Additional experience includes consulting roles with Matmut and Insee, as well as independent technical analysis for Bpifrance. With a long tenure at Nielsen, Christophe progressed from Statistician to Team Manager, leading teams in SAS modeling and analytics. Academic credentials include a Master's degree in Decision Making Techniques from the University of Paris I: Panthéon-Sorbonne and a Maîtrise in Applied Mathematics from the Institut de Mathématiques Appliquées.