Data Scientist and PhD Candidate specializing in hybrid physics-ML models for maritime energy efficiency, with expertise in end-to-end data pipelines, deep learning, and scalable ML systems.
Data Scientist & PhD Candidate
Marseille, France
Jan 2023 - Present
cma cgm & lis laboratory (cnrs umr 7020)·Full-time
Develop hybrid data-driven models combining physics-based approaches and ML to predict ship power demand and fuel consumption from high-frequency in-sea measurements. Process and analyze real-time maritime datasets integrating environmental parameters (weather, currents) with vessel-specific data (draft, trim, speed). Design interactive UIs enabling operators to compare prediction models and visualize performance through global and pointwise metrics. Contribute to advanced data-cleaning pipelines and deployment workflows, translating academic research into operational tools for the shipping industry. Collaborate with CMA CGM on the TNTM project to support fleet operational decision-making.
Machine Learning Instructor
Marseille, France
Nov 2023 - Nov 2023
le wagon·Contract
Delivered intensive machine learning training covering core scikit-learn algorithms, theoretical foundations, evaluation metrics, and practical implementation of ML pipelines.
Mathematics & Statistics Trainer
Rhamna Province, Morocco
Jan 2019 - Dec 2022
ministry of education, morocco·Full-time
Developed and delivered comprehensive curriculum in mathematics and statistics for secondary education. Created engaging learning materials and assessment tools to enhance student understanding. Trained students in analytical thinking and problem-solving.
IT Intern
Marrakech, Morocco
Oct 2017 - Nov 2017
bank al-maghrib (central bank)·Internship
Conducted a comprehensive study of IT services and operations within the central banking system.