With six years of experience in data science, ML engineering and technical leadership, I offer deep technical expertise and a proven ability to analyze and understand business needs. I deliver tailored solutions designed with rigor and methodology to optimally address the challenges organizations face.

I had the opportunity to contribute to strategic projects such as Nemo and Agathe at Engie, as well as Prognos and PTRA at Air France KLM, providing innovative solutions to solve complex problems such as anomaly detection, heat & cool flows optimization, and passenger forecasting, to effectively guide the sizing of various operational and decision-making services.

As an ML Ops, cloud computing and automation specialist, I use tools such as Docker and Kubernetes to optimize process efficiency. My approach combines technological innovation and strategic vision, turning data into levers for informed, impactful decisions.