Daniel Jarratt has extensive experience in the education technology sector, serving in various roles from Technical Product Manager at PossibilityU to Vice President of Data Science at Education Analytics. Notable achievements include designing a machine-learned school dropout early warning system at Infinite Campus and advising on personalized college readiness systems for the Get Schooled Foundation. Jarratt's academic background includes a Master of Science in Computer Science from the University of Minnesota-Twin Cities and a Bachelor of Arts in Radio and Television from Valparaiso University. Additionally, Jarratt has held various consulting and leadership positions, focusing on learning engineering and innovative educational solutions, and has contributed to significant research initiatives through affiliations with organizations such as Schmidt Futures and the Learning Engineering Virtual Institute.
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