Summary
Youssef Achenchabe is a Data Scientist and Machine Learning Engineer with 8 years’ experience building end-to-end ML systems that run reliably in production at scale. Based in Paris, he combines a PhD in machine learning from Université Paris-Saclay and an engineering background in applied math and CS to deliver forecasting, anomaly detection, and generative AI solutions across telecom and enterprise contexts. He has led small technical teams and improved time-series forecasting accuracy (notably a 6% lift for Thales eSIM demand models) while owning implementation, data preparation and project delivery. Comfortable bridging research and software engineering, he focuses on model robustness (drift detection, perturbation-based explainability) and operationalization. Despite a research pedigree, he prioritizes measurable business impact and reproducible production pipelines.
8 years of coding experience
5 years of employment as a software developer
Mathematics and Physics (MPSI - MP), Mathematics and Physics (MPSI - MP) at CPGE - Classes préparatoires aux grandes écoles
Engineering Degree & Master of Science - MS Applied mathematics & Computer science, Engineering Degree & Master of Science - MS Applied mathematics & Computer science at ENSEEIHT
Doctor of Philosophy - PhD Machine learning, Doctor of Philosophy - PhD Machine learning at Université Paris-Saclay
amazigh, French, English, Arabic, German