Mehdi Essafi is a data scientist with extensive experience in predictive modeling and data engineering across various sectors. Currently at TotalEnergies since January 2024, Mehdi previously worked at VINCI Airports where responsibilities included developing predictive models for passenger numbers and optimizing flight load factors. A notable stage as a Deep Learning Engineer at Cnam focused on Graph Neural Network architectures for recommendation systems. Earlier roles included data science and analysis at VINCI Energies, where energy consumption models were designed, and contributions to ENSEM Conseil as a strategic committee expert. Mehdi's educational background includes a Master's degree in Data Science from Télécom SudParis, an MBA from IAE Nancy School of Management, and an engineering diploma from Ecole Nationale Supérieure d'Electricité et de Mécanique.