Loïc Herbelot is a Data Scientist based in Nantes with a decade of experience applying machine learning, deep learning and data engineering across product and security-focused teams. Trained at Télécom Paris and UPMC, he blends rigorous academic grounding with hands-on delivery—building price trackers, search engines, image recognition pipelines and scalable web scrapers deployed on GCP and Kubernetes. He has practical expertise deploying models in production (Docker, Django REST, ElasticSearch) and has applied ML to side-channel cybersecurity problems, halving data needs for key-recovery attacks in R&D. Comfortable with Agile practices, TDD and collaborative development workflows, he thrives at the intersection of innovation and operationalization.
10 years of coding experience
2 years of employment as a software developer
Engineer's Degree Data Science, Engineer's Degree Data Science at Télécom Paris
Classes Préparatoires aux Grandes Écoles (CPGE) Mathematics, Classes Préparatoires aux Grandes Écoles (CPGE) Mathematics at Lycée Montaigne Bordeaux
Double Diplôme (Master 2) Data Sciences, Double Diplôme (Master 2) Data Sciences at Pierre and Marie Curie University
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