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Daniel Kent is a Senior Data Scientist at Udemy, focusing on experiments, metrics, reporting, and insights related to generative AI, subscriptions, and user experience. Prior experience includes a role as a Data Scientist at Kaiser Permanente, where machine learning and causal inference models were developed to identify churn risks and growth opportunities. Daniel's academic background includes a PhD and MA in Political Science from The Ohio State University, where research was published, funding was secured, and courses were taught. Earlier, Daniel served as a Program Representative at the University of California, Davis, coordinating essential services for international students. Educational qualifications also encompass a BA in International Relations from the University of California, Davis, alongside non-degree coursework in Math and Statistics from the same institution.