Hao Bai
About Hao Bai
Hao Bai is a Data Scientist currently employed at Vendr since 2023, with prior experience at Meta and Walmart. He specializes in human performance metrics and consumer product evaluation, holding a Ph.D. in Cognitive Psychology from Mississippi State University.
Work at Vendr.com
Hao Bai has been employed at Vendr as a Data Scientist since 2023. In this role, Bai focuses on leveraging data to enhance decision-making processes within the organization. The position involves analyzing various datasets to provide insights that drive business strategies and improve operational efficiency.
Previous Experience at Meta
Before joining Vendr, Hao Bai worked as a Data Scientist at Meta from 2021 to 2023. Located in Menlo Park, California, Bai contributed to projects that involved analyzing user data and performance metrics. This experience provided a solid foundation in data analysis and consumer behavior.
Educational Background in Psychology and Data Science
Hao Bai holds a Doctor of Philosophy (Ph.D.) in Cognitive Psychology from Mississippi State University, where studies spanned from 2008 to 2017. Additionally, Bai completed a Data Science Bootcamp at Southern Methodist University in 2019. This educational background supports expertise in human performance metrics and data analysis.
Research and Teaching Experience at Mississippi State University
At Mississippi State University, Hao Bai held several positions, including Research Assistant and Teaching Assistant, from 2008 to 2015 and 2013 to 2014, respectively. Bai also served as a Guest Lecturer during the same period. These roles involved conducting research, designing experiments, and educating students in psychology and data-related subjects.
Specialization in Human Performance Metrics
Hao Bai specializes in studying human performance metrics and evaluating consumer products. This specialization is supported by hands-on experience in designing and conducting research, which includes the design of experiments and storytelling with data. Bai is passionate about applying algorithms to solve real-world problems.