Zirong Li

Intro: Zirong Li is a dedicated data scientist with a strong foundation in statistics and data science, currently advancing his expertise in computational analysis and public policy at the University of Chicago.

Educational Background: He holds a Bachelor of Science in Statistics and Data Science from the University of California, Los Angeles, where he mastered probabilistic decision-making, computational statistics, and machine learning techniques.

Professional Experience: Zirong has amassed significant experience through internships at Ping An Bank Co., Ltd, and Baidu, Inc., contributing to projects like AI facial recognition systems and customer retention strategies.

Technical Skills: He is proficient in programming languages such as R, Python, and SQL, and has experience with software tools like MS Office, Tableau, and R Shiny.

Language Proficiency: Fluent in both English and Chinese Mandarin, Zirong's diverse skill set makes him a valuable asset in data-driven decision-making and public policy analysis, particularly in health and AI applications.