Xuefei (Amy) Li
About Xuefei (Amy) Li
Xuefei (Amy) Li is a Data Science Analyst at Emburse in Los Angeles, California, where she has worked since 2021. She holds a Master of Science in Business Analytics from Columbia University and has previous experience in data science roles at various companies including Kiwi Insure and Castleton Commodities International.
Work at Emburse
Xuefei (Amy) Li has been employed at Emburse as a Data Science Analyst since 2021. Based in Los Angeles, California, she has contributed to various data-driven projects within the organization. Her role involves analyzing data to support business decisions and improve operational efficiency. With three years of experience at Emburse, she has developed skills in data analysis and modeling, which are essential for her position.
Previous Experience in Data Science
Prior to her current role at Emburse, Xuefei Li worked at Castleton Commodities International as a Data Science Analyst for eight months in 2021. She also completed a Data Science Internship at Kiwi Insure in 2020, where she focused on a capstone project for four months. Additionally, she served as a Data Science Intern at Castleton Commodities International for three months in 2020. These positions provided her with practical experience in data analysis and project execution.
Education and Expertise
Xuefei Li earned her Master of Science in Business Analytics from Columbia University in the City of New York, completing her studies from 2019 to 2021. She also holds a Bachelor of Arts in Economics and History from Brown University. Her educational background has equipped her with a strong foundation in analytical thinking and data interpretation, which she applies in her professional roles.
Internship and Early Career Experience
Xuefei Li began her career with a Summer Analyst position at Guotai Junan Securities Co., Ltd in Shanghai, China, in 2018. She also worked as a Student Ambassador at Korbit AI for two months in 2019. These early experiences provided her with insights into the finance and technology sectors, contributing to her overall development in data science.