Sina Damangir is a data scientist with a decade of experience in machine learning and statistical modeling, leading 14 end-to-end data science projects that drive impactful business decisions. They completed their Ph.D. at the University of Houston, where they collaborated on advanced research and published findings in top business journals. Previously, as an Assistant Professor at San Francisco State University, Sina conducted innovative research and developed marketing analytics courses, mentoring numerous students on data science projects. Currently, Sina serves as a Staff Data Scientist at Google, continuing their work in the field.
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