Camille Cochener is a Senior Data Scientist with a decade of experience building and deploying machine learning solutions across industry and research settings, currently leading data science initiatives at Dataiku in Paris. She combines strong statistical foundations from an engineering degree in Statistics & Data Science with applied expertise in computer vision, predictive modeling, and production ML integration. Camille has helped startups and global firms (including Lixo, L'Oréal, and Essilor) translate noisy, real-world data into operational systems and user-facing predictive apps. Equally comfortable training diverse audiences and embedding models into products, she bridges R&D, sales, and client success to drive adoption of data platforms. Her background in life and food sciences and a specialized Mastère in Big Data inform a practical, domain-aware approach to ML — from few-shot vision methods to scalable deployment.
10 years of coding experience
5 years of employment as a software developer
Preparatory classes to the French Grandes Ecoles Agro-Véto, ENS and G2E, Preparatory classes to the French Grandes Ecoles Agro-Véto, ENS and G2E at Lycée Chaptal
Diplôme d'ingénieur (Master's degree), Statistics & Data Science for Life & Food Sciences, Diplôme d'ingénieur (Master's degree), Statistics & Data Science for Life & Food Sciences at Agrocampus Ouest
Mastère Spécialisé® (Bac+6) - equivalent of an MBA, Big Data, IA, Data Engineering, Mastère Spécialisé® (Bac+6) - equivalent of an MBA, Big Data, IA, Data Engineering at Télécom Paris
Contributions:12 commits, 11 pushes, 1 branch in 2 months
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