Maxence de Bigault Casanove is a Senior Data Scientist at Artefact since May 2021, specializing in the creation and deployment of over 10 Marketing Mix Models (MMM) utilizing Bayesian and Causal Machine Learning across various industries, including pharmaceuticals and consumer goods. Maxence has successfully scoped and developed four end-to-end forecasting and optimization data science use-cases for a leading consumer goods company. Previous experience includes roles as a Data Analyst at Procter & Gamble, focusing on Business Intelligence, and as a Data Science Intern at Renault-Nissan-Mitsubishi, where work involved developing solutions for autonomous vehicle fleet servicing. Maxence holds a Master of Science in Artificial Intelligence and an Engineering degree in Industrial Engineering from CentraleSupélec, complemented by a Baccalauréat in Sciences and Technologies.
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