Amine Ouassouli
Data Scientist - R&D
Greater Paris Metropolitan Region France
Summary
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Senior🎓
Top SchoolAmine Ouassouli is a data scientist and research-driven computer engineer with 11 years of experience bridging academic research and industrial R&D. Holding a PhD in Computer Science from INSA Lyon, his doctoral work focused on complex temporal models and discovering quantitative dependencies in interval-based state streams—skills he now applies to product-focused R&D at Dillygence. He has a track record of building production-ready systems and algorithms from C++ video analytics to Node.js backends, grounded in multiple research collaborations including a CIFRE fellowship at Foxstream. Based in Greater Paris, he combines deep data-mining expertise on heterogeneous and streaming data with practical software engineering, often tackling temporal uncertainty and domain-specific knowledge representation. Notably, his background spans teaching, historical-data modeling, and industrial deployments, reflecting an ability to translate theoretical advances into real-world solutions.
11 years of coding experience
4 years of employment as a software developer
Instituto Tecnológico de Buenos AiresDoctor of Philosophy (PhD), Computer Science, Doctor of Philosophy (PhD), Computer Science at INSA Lyon - Institut National des Sciences Appliquées de LyonScientific Baccalaureate, Scientific Baccalaureate at Lycée Lyautey au Maroc
Arabic, French, English, SpanishProgramming languages (1)
Github contributions (5)
AElOuassouli/Quantitaive-Interval-Stream-Mining
Mar 2019 - Apr 2020
Contributions:2 commits, 18 pushes in 1 year
H4213/WeLyon1.0
Apr 2015 - May 2015
Contributions:3 PRs, 57 pushes, 10 branches in 6 days
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