David Ngo is a Research Analyst at OnPoint. David earned a bachelor’s degree in Combined Economics and Mathematics from the University of California, Santa Cruz and a master’s degree in Quantitative Economics from California Polytechnic State University San Luis Obispo (Cal Poly).
Before joining OnPoint, David worked as a graduate researcher and tutor. At Cal Poly, he developed and conducted surveys to identify the data science needs of faculty and staff and to support the development of advanced training programs. Later, he worked with the World Bank to predict food insecurity in Latin American regions using machine learning algorithms. David has also collaborated with professors on a project involving drivers of loss in beverage supply chains; he applied econometric and machine learning techniques to identify key determinants and profitable ways to reduce food loss. David has also conducted qualitative and quantitative analyses to identify the financial characteristics and vulnerabilities of young adults for the United States Department of Education Office of Financial Student Aid.
David is passionate about applying econometrics and economic theory to address business challenges. He values the importance of rigorous empirical analysis in making evidence-based decisions. In his free time, David enjoys reading, swimming, and tabletop roleplaying games.
Favorite thing about OnPoint: Working with highly motivated people.