Tianyi Xu

Tianyi Xu

Data Scientist I @ Global Lending Services

About Tianyi Xu

Tianyi Xu is a Data Scientist I currently employed at Global Lending Services LLC in Greenville, South Carolina. With a Master's degree in Data Science and Analytics from Georgetown University, Xu has held various roles in data analysis and teaching across multiple organizations.

Work at Global Lending Services

Tianyi Xu currently holds the position of Data Scientist I at Global Lending Services LLC. He has been with the company since 2023, contributing to data-driven projects in a hybrid work environment based in Greenville, South Carolina. His role involves analyzing data to support business decisions and improve operational efficiency.

Previous Experience in Data Analysis

Prior to his current role, Tianyi Xu gained valuable experience in data analysis through various internships and assistantships. He worked as a Data Analyst Intern at IntelliPro for two months in 2022, where he developed analytical skills. He also served as a Data Science Intern at Arlington County Government for three months in 2023, further enhancing his expertise in data science.

Teaching Assistant Roles

Tianyi Xu has experience as a Teaching Assistant at Georgetown University Graduate School of Arts & Sciences and at Georgetown University McDonough School of Business. In 2022, he worked for three months at GSAS and for one month at the McDonough School, assisting faculty and supporting students in their academic pursuits.

Educational Background in Data Science

Tianyi Xu earned a Master's degree in Data Science and Analytics from Georgetown University, completing his studies from 2021 to 2023. His educational background provided him with a strong foundation in data analysis techniques and methodologies, preparing him for his career in data science.

Undergraduate Studies in Labor Economics

Before pursuing his Master's degree, Tianyi Xu obtained a Bachelor's degree in Labor Economics from Renmin University of China, where he studied from 2017 to 2021. This academic background contributed to his analytical skills and understanding of economic principles.

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