Sam Di is an accomplished data scientist with a diverse educational background and extensive professional experience. He holds a Bachelor of Science degree from the University of Mississippi, where he also studied at the prestigious Sally McDonnell Barksdale Honors College. Building upon his undergraduate studies, Sam pursued further education at Duke University, where he successfully earned a Master's and Doctoral degree in Electrical Engineering, with a focus on Philosophy.

Throughout his career, Sam has held various positions in the field of data science. Currently, he serves as a Senior Data Scientist at Time Warner, where he utilizes his expertise to analyze and extract valuable insights from complex datasets. Prior to this role, Sam worked as a Data Scientist at Tradesy, where he leveraged his skills to develop innovative solutions and algorithms for the company's e-commerce platform. Before that, he served as an Associate Data Scientist at Factual Inc, where he contributed to data analysis and modeling initiatives. Additionally, Sam has practical experience in customer success engineering, having worked in that capacity at Factual Inc.

Sam's professional journey began as a Graduate Research Assistant at Duke University, where he conducted cutting-edge research in electrical engineering. He further expanded his research experience as a Summer Research Assistant at the University of Southern California and the University of Minnesota, where he worked on various projects related to his field of study.

With a strong educational foundation and a wealth of hands-on experience, Sam Di has become a seasoned professional in the field of data science. His areas of expertise include data analysis, algorithm development, modeling, and research in electrical engineering. Sam's interests lie in leveraging data to drive business decision-making and contribute to the advancement of technology.