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Anas Belfatmi is a Machine Learning Engineer at Amplified Industries, Inc., specializing in data science and machine learning for AI-powered IoT solutions in the oil and energy sector. Anas's experience includes a Machine Learning Internship at Alygne, Inc., where coreference resolution techniques improved natural language processing results, a Data Scientist internship at AUDI AG focusing on predictive modeling for IT ticket resolution, and a Data Analyst position at SNCF analyzing carbon footprint data. Additionally, Anas has worked as a Consultant at AlixPartners, contributing to the Hydrogen Vehicles section of a major automotive outlook report, and as a Radar Engineer at CEA, developing algorithms for detecting space debris. Anas is recognized as a Forbes 30 Under 30 honoree, and an MIT 100K & CleanTech Open North East award-winner, currently pursuing a Master of Engineering in Data Science at CentraleSupélec.