Mohamad Nasser is a Senior Data Scientist based in Montpellier with seven years of experience applying machine learning and predictive modeling to real-world, high‑scale problems. He has led projects from feature engineering to deployment, including work on 100M‑row datasets using Dask, PySpark and AWS (EMR, RDS, SageMaker) to surface anomalous trading behavior and identify entities in the nuclear fuel cycle. At IndieBI and earlier roles he blends research-driven methods (co‑authoring a paper on positive‑unlabeled learning) with product delivery, and he’s comfortable mentoring teams as shown by his Lambda School lead experience. His background in digital marketing and finance gives him a pragmatic edge for turning models into measurable business impact, and he often keeps promising personal projects private while scouting for the next hard problem to solve.
7 years of coding experience
4 years of employment as a software developer
Data Science and Machine Learning, Data Science and Machine Learning at Lambda School
Bachelor of Science - BS, Banking and Finance, Bachelor of Science - BS, Banking and Finance at Lebanese American University
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