Joseph Tenini, PhD, is a data scientist at MongoDB specializing in machine learning to enhance real-time decision-making and optimize processes. Currently, Joseph focuses on personalizing user interactions using contextual multi-armed bandit policies and recommender systems. With experience as a machine learning engineer at Hightouch and a data scientist at Red Ventures, Joseph has directed comprehensive data science projects that integrate business and technology. Joseph holds a PhD in Mathematics from the University of Georgia, where they also served as a graduate teaching assistant and researched Abelian varieties. Additionally, Joseph has contributed to academia by teaching applied machine learning at the University of North Carolina at Charlotte.
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