Jérémy Gall is an Analytics Engineer and data scientist with nine years' experience turning complex line-of-business data into scalable analytics and ML products for enterprises like L'Oréal, GROUPE M6 and Société Générale. Trained at ENSAI in mathematical statistics, he blends rigorous statistical thinking with hands-on engineering—deploying pipelines, semantic layers and self-service analytics that reached thousands of business users. He has built production ML services (from regression and anomaly detection to embeddings-based classification), automated semantic-layer tooling, and integrated AI agents to enable cross-source reporting. A seasoned instructor and organizer, he designed and automated a weekend HDP+Jupyter cluster for 70 students and regularly teaches Spark and streaming in production-like environments. Comfortable in both startup and corporate contexts, he focuses on practical, deployable solutions rather than certifications, and is equally at home coding infra as crafting models. Based in Marseille, he now consults as a freelancer, helping teams scale analytics adoption and shorten the path from data to decision.
9 years of coding experience
7 years of employment as a software developer
Master's degree, Mathematical Statistics and Probability, Master's degree, Mathematical Statistics and Probability at ENSAI
A-Levels Mathematics with Honors, Mathematics, A-Levels Mathematics with Honors, Mathematics at Lycée Bertrand d'Argentré, Vitré
Preparatory Classes for Engineering Schools, Mathematics and Physics, Preparatory Classes for Engineering Schools, Mathematics and Physics at Lycée Chateaubriand
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