Amine Kheldouni
Data Scientist
Paris, Ile-de-France
Summary
👤
Senior🎓
Top SchoolAmine Kheldouni is a data scientist with 10 years of experience applying mathematics, NLP and machine learning to real-world problems across finance, healthcare and research. Trained at École des Ponts and ENS Paris-Saclay with top grades, he blends rigorous theoretical grounding with hands-on deployment experience from roles at LCL, BIL, Société Générale and now Cardiologs. He has a proven track record in statistical research and ML productization, moving models from prototype to production in regulated environments. Curious and self-driven, he continually deepens his expertise through personal projects and AI research, with a particular knack for translating complex probabilistic ideas into robust solutions. Based in Paris, he brings both engineering discipline and research sensibility to cross-functional teams.
10 years of coding experience
4 years of employment as a software developer
Master of Science - MS, Mathematics and Computer Science, GPA > 4.0, Master of Science - MS, Mathematics and Computer Science, GPA > 4.0 at École normale supérieure Paris-SaclayMathematics, Physics, Computer Science and Engineering, Bachelor of Science level, Mathematics, Physics, Computer Science and Engineering, Bachelor of Science level at Lycée FaidherbeMathematics, Highest Honours, Mathematics, Highest Honours at Lycée Al Jabr, Fès, MarocEngineer's degree, Mathematics and Computer Science, GPA > 4.0, Engineer's degree, Mathematics and Computer Science, GPA > 4.0 at École des Ponts ParisTech
French, Arabic, English, Chinese, Spanish
Github Skills (17)
pytorch9
python9
natural-language-processing9
audio9
nlp9
speech-recognition8
transformer8
deep-learning8
multimodal8
machine-learning8
llm8
machine-learning-models7
transformers7
inference7
gemma6
Programming languages (2)
Github contributions (5)
AmineKheldouni/Tower-Defense
Nov 2016 - Feb 2017
Contributions:76 commits, 68 pushes, 1 branch in 3 months
AmineKheldouni/DirectFuturePrediction
Dec 2018 - Jan 2019
Code for the paper "Learning to Act by Predicting the Future", Alexey Dosovitskiy and Vladlen Koltun, ICLR 2017
Contributions:32 commits, 21 pushes, 1 branch in 27 days
nlpacticlrdeep-learningmachine-learning
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