Summary
Arnaud Paran is a data scientist and machine learning engineer based in Paris with 11 years of experience building production ML and data-driven applications across finance, consulting, logistics and startups. Currently at Groupe Crédit Agricole, he blends applied deep learning, computer vision and recommendation systems with hands-on Python engineering and containerized deployment. He has led small tech teams to deliver practical tools that streamline operations—such as customer feedback classifiers and internal workflow apps—and built graph-based product recommenders using Neo4j. Trained at École des Ponts and with advanced degrees in AI and Operations Research, he favors rigorous methodology, agile practices and test-driven workflows. Comfortable in multicultural teams, he seeks fast learning environments and empirically-driven best practices rather than hype. An uncommon thread in his background is early research experience modeling river sediment transport with scientific computing, reflecting a solid foundation in numerical modeling and applied mathematics.
11 years of coding experience
1 year of employment as a software developer
Diplôme d'ingénieur, Diplôme d'ingénieur at École des Ponts ParisTech
Baccalauréat scientifique mention très bien, Baccalauréat scientifique mention très bien at Lycée des droits de l'homme
Master 2 (M2), Artificial Intelligence, Master 2 (M2), Artificial Intelligence at École normale supérieure Paris-Saclay
Master 2 (M2), Operations Research, Master 2 (M2), Operations Research at Cnam
lycée marcelin berthelot
baimbridge
French, English, Spanish, créole