Alexandre Rousseau is a Senior Data Scientist based in Paris with 8+ years of hands-on experience building ML systems that drive real-world impact at scale, from recommender systems and conversational AI to fraud detection and monetization pipelines. At Meetic (Match Group) he applies causal inference and LLMs to boost conversion and engagement across multiple brands while also designing real-time NLP detectors for toxic and scam behaviors. His background spans industry and research — including fraud detection in banking and synchrotron image analysis — giving him a rare mix of production-focused engineering and rigorous experimental practice. An active competitor and problem-solver, he placed in the top 8% of the RecSys Challenge 2024 with an efficient LLM approach and holds Kaggle Master-level medals, reflecting a continual appetite for learning and pushing applied ML boundaries.
4 years of coding experience
3 years of employment as a software developer
Industrial Engineering, Industrial Engineering at Arts et Métiers ParisTech - École Nationale Supérieure d'Arts et Métiers
Nanodegree Machine Learning Engineer, Data science, https://profiles.udacity.com/p/8923621124, Nanodegree Machine Learning Engineer, Data science, https://profiles.udacity.com/p/8923621124 at Udacity
Materials & Engineering Sciences in Paris, Materials & Engineering Sciences in Paris at École Normale Supérieure de Cachan
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