Farouk Hakem is a seasoned data scientist with experience at Shift Technology since September 2021, focusing on developing predictive machine learning models for fraud detection. Prior to this role, Farouk worked as a machine learning engineer at Bouygues Telecom, where responsibilities included developing an NLP engine with a BERT-like model in PyTorch, intent classification, entity detection, and deploying a web service on AWS. Farouk also has experience as a business developer and project manager at Sprint Junior-Entreprise, where duties involved creating business development strategies, organizing prospecting sessions, and managing project missions. Additionally, Farouk served as a consultant for Watson AI & Data Platform at IBM, working on ERP development using web technologies. Farouk holds a Master's degree in Artificial Intelligence from Télécom Paris and an engineering diploma in Mathematics from Télécom SudParis.
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