Yingzhe Jin
About Yingzhe Jin
Yingzhe Jin is a Data Scientist at Zest AI in the New York City Metropolitan Area with a background in data analytics and economics.
Current Position at Zest AI
Yingzhe Jin is currently employed as a Data Scientist at Zest AI, operating within the New York City Metropolitan Area. In this role, Yingzhe develops predictive models to enhance credit risk assessment, applying advanced data analytics techniques to optimize financial decision-making processes.
Prior Experience at Amazon
In 2022, Yingzhe Jin worked as a Data Science Intern at Amazon for three months in Seattle, Washington, United States. During this internship, Yingzhe gained valuable experience in data science applications within a leading technology company, contributing to various projects in a fast-paced and innovative environment.
Internships in China
Yingzhe Jin has held several internships in China, including a Data Scientist Intern role at Kuaishou Technology's Analytics Center/Search Team in Beijing for five months in 2021. Yingzhe also worked as a Digital Marketing Intern at Abbott for three months in 2019 and a Data Analyst Intern at Ipsos for four months in 2019 in Shanghai City. Additionally, Yingzhe completed an eight-month internship as a Data Consulting Intern at KPMG from 2018 to 2019.
Educational Background
Yingzhe Jin earned a Master of Science in Data Analytics from Carnegie Mellon University, studying from 2020 to 2022. Prior to that, Yingzhe obtained a Bachelor of Science in Economics from the Shanghai University of Finance and Economics, where they studied from 2016 to 2020. Yingzhe's academic journey included contributing to research on machine learning applications in finance and receiving a scholarship for outstanding academic performance.
Industry Contributions and Volunteering
Yingzhe Jin has contributed to the field of data science through various initiatives, including presenting findings on consumer behavior analytics at a major industry conference in 2021. Yingzhe also co-authored a research paper on machine learning applications in finance during their tenure at Carnegie Mellon University. Additionally, Yingzhe has volunteered as a mentor for data science students through a university program, supporting the development of future professionals in the field.