Mathieu Carmassi

Mathieu CARMASSI is a seasoned data science professional currently serving as a Data Science Manager at Cartier since November 2019, where responsibilities include managing a team to structure commercial data on GCP and developing relevant data products for business needs. Previous experience at Cartier includes the role of Data Scientist, focusing on sales forecasting models and building a data warehouse in GCP. Prior to Cartier, Mathieu worked at EDF as a Data Scientist, implementing machine learning models on customer consumption data, and completed a PhD in applied statistics at Université Paris-Saclay. Additional experiences include internships at The University of Arizona and various engineering roles, contributing to programming, data analysis, and research in multiple sectors such as energy and engineering. Educational qualifications include a Ph.D. in Applied Mathematics and an engineering degree in Mechanical Structures and Material Sciences.