Thomas Lentali is a senior data scientist based in Montreal with 10 years of hands-on experience building production ML systems across e-commerce, gaming, and finance. He has a strong track record in AML and fraud detection, personalization and recommendation engines, churn and LTV modeling, and NLP and computer vision applied at scale. At Betclic and Cdiscount he combined experimentation, feature engineering and deployment to improve KPIs across search, marketing and responsible-gaming initiatives, and he now focuses on financial crime analytics at Desjardins. He also teaches machine learning and ethics to master’s students, reflecting a commitment to clear communication and responsible AI. Comfortable with large-scale data stacks (Spark, Hadoop, SQL) and Python tooling (pandas, scikit-learn), he blends rigorous applied math training with pragmatic production experience. Colleagues would note his playful “living with pandas and python” ethos—serious about data, but never taking the fun out of engineering.
10 years of coding experience
10 years of employment as a software developer
Master Mathématiques appliquées, Master Mathématiques appliquées at Université de Bordeaux
Licence Mathématiques appliquées, Licence Mathématiques appliquées at Université de Toulon
Contributions:1 release, 15 commits, 12 PRs in 6 years 5 months
cv-latexcv-templatelatexats
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