Freelancer profile translated to English.
Back to original languageAbout Mohcine
Data Scientist and Data Engineer at EDF, graduated from CentraleSupélec, specializing in machine learning and NLP. Notable experience in developing data-driven solutions at EDF and Enedis.
French
Native or bilingual
English
Fluent
Arabic
Native or bilingual
Can work on-site
Paris (up to 50km)
Experience
- EDF R&D-Site de SaclayResearch EngineerENERGY AND UTILITIESOctober 2021 - Today (4 years and 8 months)91120 Palaiseau, France- Reliability, Availability, and Interoperability of Smart Electrical Grids- Electric Mobility- Linky PLC Metering- Crisis Management- Detection of Distribution Network Equipment by Image Recognition (CIRED2023)- Digital Twin of EDF's IS- Analysis of Mechanical Schematics of Nuclear Power Plants- LLMs + QA Retrieval with Embeddings to Build a Conversational Question-Answering Agent with Research Papers.- Anomaly Detection and Reliability Study on BESS (Battery Management Systems).
- EDF R&D-Site de SaclayApprentice Research EngineerENERGY AND UTILITIESSeptember 2019 - September 2021 (2 years)Paris, France- Anomaly detection from images of the overhead medium voltage network using a convolutional neural network (Yolov3).- Prediction of the number of customer outages during storms
- Enedis (ex ERDF)Apprentice EngineerENERGY AND UTILITIESOctober 2018 - September 2019 (11 months)Angers, FranceDetection of disruptive customers at the medium voltage/low voltage substation level
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Education
- General Engineer DiplomaCentraleSupélec2021Un programme général qui permet d'ouvrir les yeux sur tous les domaines de la physique, informatique et mathématiques. Cours abordés : - Convergence, Lebegues measure et Probabilities - Statistics and Machine learning - Partial Derivative Equation - Quantum physics - Autonomous vehicles - Control Theory - Machine Learning - Advanced probabilities - Artificial intelligence - Advanced statistics - Optimisation
- 2 years preparatory classes for Grandes ÉcolesLycée Georges Cabanis2018Des cours intensifs sur diverses domaines (maths, optique, électricité, mécanique, thermodynamique..) qui permettent un large choix de spécialité en école d'ingénieur.
Certifications
- Natural Language Processing Specialization Courses in specialization:Coursera