Quentin Coic
Machine Learning Engineer & Data Scientist
Châtenay-Malabry, Île-de-France, France
Summary
👤
Senior🎓
Top SchoolQuentin Coic is a Machine Learning Engineer and Data Scientist with eight years of experience, currently applying advanced statistical and ML techniques at Bleckwen. Trained at Université Paris-Dauphine and ENS in the M2 MASH program, he combines rigorous mathematics and applied statistics with human-centered perspectives on learning systems. He has moved from academic excellence in applied mathematics to production ML, focusing on turning statistical insight into operational models. Based in Île-de-France, Quentin blends deep theoretical grounding with practical engineering experience in a startup environment, and is known for making complex models interpretable and actionable for non-technical stakeholders.
8 years of coding experience
M2 MASH (Mathématiques - Apprentissage - Sciences Humaines), Mention B, M2 MASH (Mathématiques - Apprentissage - Sciences Humaines), Mention B at Université Paris Dauphine et ENSM1 Mathématiques appliquées Parcours Statistiques, Mathematics, Mention B, M1 Mathématiques appliquées Parcours Statistiques, Mathematics, Mention B at Université Paris Dauphine
English
Github Skills (3)
sentiment7
twitter4
emotion-analysis4
Programming languages (1)
Github contributions (5)
BleckwenAI/teastream
Jun 2019 - Jul 2019
Twitter Emotion Analysis in STREAMing, an app that, given a hashtag or a mention, return a stream of tweets with a predicted sentiment as well as aaggregated results over a certain period of time.
Contributions:4 commits, 4 pushes, 1 branch in 1 month
emotion-analysissentimenttwitter
QuentinCoic/Convex-Optimization-Homework-Barrier-method
Nov 2017 - Nov 2017
Contributions:4 commits, 3 pushes, 1 branch in 1 day
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