Summary
Florian Firmin is a seasoned data scientist with over a decade of experience applying machine learning to product analytics, predictive maintenance and healthcare simulations. Trained at Télécom ParisTech and with roots in telecommunications engineering, he blends strong mathematical foundations with pragmatic engineering from roles at Bouygues Telecom to startups like Mood Messenger. He helped scale user-retention analytics for a top messaging app and now develops AI systems for an e‑bike startup, demonstrating fluency from time-series visualization to embedded ML. His background in aerospace predictive maintenance and pharmaceutical virtual-patient modeling highlights a rare ability to bridge high-stakes, sensor-driven systems and business-facing analytics. Comfortable in startup environments, he’s equally effective leading small teams or shipping models that directly improve user experience and operational reliability. Based in Marseille, he combines product-minded experimentation with disciplined, production-ready solutions.
10 years of coding experience
15 years of employment as a software developer
Master of Physics, Physics, Master of Physics, Physics at Université des Sciences et Techniques du Languedoc (Montpellier II)
Post Master's Degree, Big Data - Large scale Data Storing - Data Mining - Machine Learning, BIG DATA, Post Master's Degree, Big Data - Large scale Data Storing - Data Mining - Machine Learning, BIG DATA at Telecom ParisTech
Engineer's degree, Telecommunication engineer, Engineer's degree, Telecommunication engineer at Télécom SudParis
French, English