Summary
Aurélien Massiot is a Machine Learning Engineer based in Paris with 11 years of experience applying data science and ML to enterprise problems across finance, automotive, telecom and energy clients. At OCTO Technology he leads ML missions for BNP Paribas, Valeo, Orange, Engie and Total, trains data science cohorts and mentors participants in OCTO’s graduate AI program. His background spans NLP and neural networks, predictive modeling for industrial applications, and hands-on data engineering using AWS, Python and R. Early roles combined software engineering and data pipeline work, giving him a pragmatic view of productionizing models. He holds an engineering degree specialized in Data Science and completed an exchange in Computer Science at Université de Montréal, reflecting both strong fundamentals and international exposure. Colleagues describe him as a teacher-engineer who balances technical rigor with the ability to translate ML into business impact.
11 years of coding experience
2 years of employment as a software developer
Exchange program, Computer Science, Exchange program, Computer Science at Université de Montréal - Ecole polytechnique de Montréal
Engineering Degree, Computer Science (specialized in Data Science), Engineering Degree, Computer Science (specialized in Data Science) at Institut national des Sciences appliquées de Rouen
French Baccaulauréat, Sciences, First-class honors, French Baccaulauréat, Sciences, First-class honors at Lycée Galilée, Haute-Normandie, France.
French, English, German, Spanish