Cindy Xinyi Tan
About Cindy Xinyi Tan
Cindy Xinyi Tan is a Senior Manager of Data Science at Global Lending Services LLC, where she has worked since 2020. She holds Master's degrees in Macromolecular Science and Engineering and Statistics from Virginia Tech and a Bachelor's degree in Polymer Science and Engineering from Beijing University of Chemical Technology.
Current Role at Global Lending Services
Cindy Xinyi Tan serves as the Senior Manager of Data Science at Global Lending Services LLC. She has held this position since 2020, contributing to the company's data-driven decision-making processes. Her role involves overseeing data science initiatives and leading teams to develop predictive models that enhance business operations. She is based in Greenville, South Carolina.
Previous Experience at Global Lending Services
Prior to her current role, Cindy worked at Global Lending Services LLC in various capacities. She served as a Statistical Modeler from 2016 to 2018, where she focused on developing statistical models. Following this, she advanced to the position of Manager of Predictive Modeling from 2018 to 2020, where she led projects aimed at improving predictive analytics within the organization.
Educational Background in Science and Engineering
Cindy Xinyi Tan has a strong educational background in science and engineering. She earned her Bachelor's Degree in Polymer Science and Engineering from Beijing University of Chemical Technology, studying from 2006 to 2010. She then pursued a Master's Degree in Macromolecular Science and Engineering at Virginia Tech, completing her studies from 2010 to 2015. Additionally, she obtained another Master's Degree in Statistics from Virginia Polytechnic Institute and State University, studying from 2013 to 2015.
Research Experience at Virginia Tech
During her time at Virginia Tech, Cindy worked as a Graduate Research Assistant from 2010 to 2015. In this role, she engaged in research activities that contributed to her knowledge and expertise in data analysis and modeling. This experience laid the groundwork for her subsequent roles in data science and predictive modeling.