Leo PeBenito is a seasoned Data Scientist and Software Engineer with experience in time series analysis, anomaly detection, and recommendation systems. Leo's previous roles include software engineering at the Museum of Science and Industry and teaching various chemistry courses at institutions such as the University of Maryland and The Graduate Center, City University of New York. Currently, Leo applies expertise in data analysis and model evaluation as a Data Scientist at Valarm. With a strong academic background, including a PhD candidacy in Molecular Biophysics, Leo has contributed to significant research projects and has co-authored several academic publications.
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