Linxiaolu Gan
About Linxiaolu Gan
Linxiaolu Gan is a Senior Statistical Modeler at Sallie Mae, where he developed a CECL compliant loss forecasting model for Private Student Loan products. He has a background in statistics and marketing analytics, with experience in various roles across multiple organizations.
Work at Sallie Mae
Linxiaolu Gan has been employed at Sallie Mae since 2019, currently holding the position of Senior Statistical Modeler. In this role, Gan developed a CECL compliant loss forecasting model specifically for Private Student Loan products. Prior to this, Gan worked as a Statistical Modeler at Sallie Mae from 2017 to 2019, contributing to various statistical modeling projects. The experience at Sallie Mae has allowed Gan to specialize in marketing analytics, focusing on customer lifetime value and credit card response models.
Education and Expertise
Linxiaolu Gan earned a Master of Arts in Statistics from the University of Delaware, completing the program from 2014 to 2016. Prior to this, Gan obtained a Bachelor of Science in Mathematics and Applied Mathematics from the University of Shanghai for Science and Technology, studying from 2008 to 2012. This educational background has equipped Gan with a strong foundation in statistical analysis and data modeling, which is applied in current professional roles.
Background
Before joining Sallie Mae, Linxiaolu Gan worked in various statistical consulting roles. From 2015 to 2016, Gan served as a Statistical Consultant at the University of Delaware in the College of Health Sciences. Following this, Gan worked at DuPont as a Statistical Consultant from 2016 to 2017. Additionally, Gan has experience as a Data Analyst at BoldSeas Technologies in Shanghai, China, from 2012 to 2014. This diverse background has contributed to Gan's expertise in statistical modeling and analytics.
Professional Experience
Linxiaolu Gan has accumulated significant experience in statistical modeling and analytics throughout their career. At Sallie Mae, Gan has focused on developing models that comply with regulatory standards, such as the CECL loss forecasting model. The role at the University of Delaware involved providing statistical consulting services, while the position at DuPont further enhanced consulting skills. The early career as a Data Analyst at BoldSeas Technologies laid the groundwork for a strong analytical skill set.