Mucong (Collin) Li
About Mucong (Collin) Li
Mucong (Collin) Li is a Data Scientist with extensive experience in analytics and data science across various sectors. He has worked for notable organizations including Carelon and Elevance Health, and holds a Master of Science in Analytics from the University of Chicago.
Work at Carelon
Mucong (Collin) Li currently holds the position of Data Scientist at Carelon, where he has been employed since 2022 in the New York City Metropolitan Area. Prior to this role, he served as a Data Scientist Analyst at Carelon for 9 months in 2022. His work focuses on applying data science techniques to enhance healthcare services and improve operational efficiencies.
Education and Expertise
Mucong Li earned a Master of Science in Analytics (Data Science) from the University of Chicago, completing his studies from 2020 to 2022. He also holds a Bachelor of Science in Business Information Management with a minor in Statistics from UC Irvine, where he studied from 2016 to 2020. His expertise includes predictive and segmentation modeling, time series analysis, Natural Language Processing (NLP), and Machine Learning Operations.
Background
Mucong Li has a diverse professional background in data science and analytics. He began his career as a Vice President of Quantitative Research at Applied Investment Research Group in 2019. He has held various roles, including Director of Domestic Equity and Director of Fixed Income at SMIF UCI. His experience also includes internships at Enova International, Golden Hippo, and Pathway Capital Management, where he developed skills in data analysis and investment strategies.
Achievements
Throughout his career, Mucong Li has contributed to multiple projects in data science and analytics. He worked on a Deep Learning & Database Enrichment Capstone Project at MeCycle from 2021 to 2022. His proficiency in data visualization tools like Tableau, databases such as MySQL and MongoDB, and programming languages including Python, R, and Java has enabled him to effectively analyze data and derive actionable insights.