Naoufal Benkmil
Data Science Intern @EDF
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WORK HISTORY
Data Science Intern @EDF
Paris, FR
At EDF R&D, I worked on designing and implementing solutions to automatically detect and correct inconsistencies in mechanical diagrams of nuclear power plants using Large Language Models (LLMs). My work involved exploring prompt-based and fine-tuning approaches, and evaluating model performance compared to traditional rule-based methods. This project aimed to enhance data reliability and streamline information extraction from complex technical documentation.
EDUCATION
Abulcasis International University of Health Sciences - UIASS
Classes préparatoires aux grandes écoles (CPGE)
Lycée Moulay Youssef Rabat
Classes préparatoires aux grandes écoles (CPGE)
ABOUT NAOUFAL BENKMIL
I recently graduated from IMT Atlantique with a specialization in Data Science. Passionate about solving real-world problems through data, I enjoy working in dynamic and innovative environments that foster collaboration and continuous learning. My recent experiences at EDF R&D and Ermes have strengthened my skills in machine learning, data processing, and full-stack development, allowing me to contribute to impactful and research-driven projects. I’m now looking for new opportunities to apply my expertise in AI and data science to meaningful challenges.
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