Summary
Nicolas Mery is a Data Scientist and AI Engineer with 11 years of experience, currently building generative AI solutions and governance at Openvalue. He combines classical machine learning, deep learning and NLP expertise with practical cloud deployment skills on Azure and Databricks, and has hands-on experience implementing RAG and document parsing workflows. Previous roles include designing predictive models, speech-to-text conversation analysis and PySpark feature pipelines for Société Générale, demonstrating strength in applying ML to real-world business problems. Trained as an engineer (ESILV) with a Data Science certificate from UCLA Extension and an unusual background that includes medical studies, he brings a cross-disciplinary perspective to problem framing and data-driven solutions. Known for moving prototypes into governed production services, he balances research curiosity with pragmatic delivery.
11 years of coding experience
3 years of employment as a software developer
Certificate Data Science, Certificate Data Science at UCLA Extension
Engineer's degree Data Processing, Engineer's degree Data Processing at ESILV - Ecole Supérieure d'Ingénieurs Léonard de Vinci
Medicine, Medicine at Université Paris Cité
Baccalauréat scientifique, Baccalauréat scientifique at Lycée Notre-Dame de Boulogne
English, French