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I am a Freelance Senior Machine Learning Engineer currently working for Decathlon Digital.
With 3+ years of experience (3 years as Data Scientist at Artefact), I have developed a strong expertise in deploying machine learning models, forecasting and generative AI, with a foot in computer vision.
I have the strong conviction that every data science project should implement software engineering best practices to make collaboration as smooth and efficient as possible.
• Open-source contribution to the repository Ultralytics (21k + ⭐️).
• Certified by Google Cloud: Professional Machine Learning Engineer.
• Taught Data Science & MLOPs best practices at top engineering schools (X-HEC, CentraleSupélec, École des Ponts ParisTech, Arts et Métiers).
Decathlon Digital
Deployed multiple dynamic pricing projects in Decathlon Digital's infrastructure.
BNP Paribas
Built an online bank assistant chatbot using RAG (Retrieval Augmented Generation).
Khimod
Implemented an object detection model to spot defects on metal surfaces of heat exchangers. Contributed to the repository Ultralytics.
Sephora
Developed a forecasting model to help Sephora to estimate the sales in 5 countries 1 year ahead. Achieved a performance of +10 pts in Forecast Accuracy over current specialists forecasts.
Adeo / Leroy Merlin
Built an assortment recommender web application used by 30+ department managers; with a monitoring dashboard.
Richemont - Montblanc & IWC
Industrialized and automatized two forecasting pipelines using GCP services.
Fnac-Darty
Developed a counterfactual forecasting model to estimate past promotions uplift. Link to Medium Article
Fortenova
Data science lead on the project to estimate the performance of previous promotion.
You can contact me on LinkedIn or send me an email if you have any question or want to discuss future opportunities.