Summary
Nicolas Henry is a Senior Data Scientist based in Paris with four years of hands-on experience building production-ready ML and computer vision systems for payments, identity verification, and digital trust platforms. He has led small teams and R&D efforts at startups and scale-ups—designing OCR, object detection, denoising/super-resolution pipelines and end-to-end MLOps for clients in banking, public sector and fintech. At Checkout.com and ubble he applies deep learning to high-stakes problems like fraud and ID verification, while earlier roles combined technical audits, BI automation and recruitment support, showing a blend of product, engineering and people-facing skills. Fluent in PyTorch, Docker, Kubernetes and cloud deployments, he moves research prototypes to reliable services. A less obvious strength is his cross-disciplinary background (engineering diploma, MSc in Data Science and early work in BI/VBA) that helps him translate business needs into robust ML architectures.
4 years of coding experience
5 years of employment as a software developer
Diplôme d'ingénieur, Data et Réseau, Major of his specialization, Diplôme d'ingénieur, Data et Réseau, Major of his specialization at ESIEE PARIS
Master's degree in Data Science, Faculty of Informatic, Mathematics and Statistics, Master's degree in Data Science, Faculty of Informatic, Mathematics and Statistics at Sapienza Università di Roma
Baccalauréat, Scientifique - Sciences de l'Ingénieur, Baccalauréat, Scientifique - Sciences de l'Ingénieur at Lycée Françoise Cabrini
Licence, Mathématiques et informatique, Licence, Mathématiques et informatique at Université Paris-Est Marne-la-Vallée
English, German, Chinese, French, Japanese