Daniel Weitzenfeld is a highly experienced Data Scientist with a strong background in Economics. With a degree in BA from the University of Chicago, he has worked for several reputable organizations in various roles within the Data Science field. He is currently the Data Scientist at Myia Health, a healthtech company providing predictive analytics for continuous health monitoring. Prior to this, he worked at J.P. Morgan as an Associate Data Scientist and served as the VP of Data at Managed by Q, a workplace management platform. With extensive experience as a consultant, Daniel has provided his expertise to various companies, including HowAboutWe.com, 5ivepoints, and EmSense Corporation. He has also served as a Research Assistant at Hoover Institution and Dept. of Economics, University of Chicago.

Throughout his career, Daniel has developed expertise in areas such as analytics, statistical modeling, and predictive modeling. His background in economics has also given him a solid foundation in data analysis and research. With an interest in healthtech and workplace management, he has leveraged his skills to provide insights and solutions to companies in these industries.