Xunge Jiang
About Xunge Jiang
Xunge Jiang is the Head of Data Science at Loop, where he has worked since 2020, specializing in machine learning and geospatial data science to improve road safety. He holds a Bachelor of Science in Mathematics from the University of Washington and a Master of Science in Analytics from Georgetown University.
Current Role at LOOP Car Insurance
Xunge Jiang serves as the Head of Data Science at LOOP Car Insurance. He has held this position since 2020 and is based in the Austin, Texas Metropolitan Area. In this role, he focuses on utilizing machine learning techniques to assess driver exposure to unsafe conditions, contributing to the company's commitment to road safety.
Previous Experience in Data Science
Prior to his current role, Xunge Jiang worked as a Data Scientist at LOOP Car Insurance from 2019 to 2020. He also completed a Data Scientist Intern position at LOOP in 2019. His experience includes working at China Unicom as a Data Scientist Intern in 2018 and at MassMutual as a Financial Intern from 2017 to 2018. He has also interned as a Data Analyst at Swigel Capital Management, LLC in 2017.
Educational Background
Xunge Jiang holds a Bachelor of Science in Mathematics from the University of Washington, where he studied from 2013 to 2017. He furthered his education at Georgetown University, earning a Master of Science in Analytics with a concentration in Data Science from 2018 to 2020. He completed his high school education at Lausanne Collegiate School from 2010 to 2013.
Specialization in Geospatial Data Science
Xunge Jiang specializes in leveraging geospatial data science to enhance road safety analysis. His expertise in this area supports his work in assessing driver exposure to unsafe conditions, aligning with industry trends focused on improving vehicle safety through data-driven insights.
Early Career Experience
Xunge Jiang began his career with a role as a Credit Analyst and FRM Intern at HSBC in 2014 for three months in Shanghai City, China. This early experience laid the foundation for his future roles in data science and analytics, providing him with valuable insights into financial data analysis.