Kucina (Yuge) Li
About Kucina (Yuge) Li
Kucina (Yuge) Li is a Data Science Intern with a strong background in data analysis and research, having worked at various prestigious institutions including the University of Chicago and Bain & Company. She holds a Master's Degree in Data Science and a Bachelor's Degree in Business Administration from Emory University.
Current Role at Epiq
Kucina Li currently serves as a Data Science Intern at Epiq, a position she has held since 2021. In this role, she focuses on data analysis and modeling, contributing to various projects that require advanced data science techniques. Her experience at Epiq allows her to apply her academic knowledge in a practical setting, working with complex data sets to derive insights and support decision-making processes.
Education and Expertise
Kucina Li has an extensive educational background in data science and business. She obtained a Master's Degree in Data Science from the University of Chicago. Prior to this, she earned a Bachelor of Business Administration (BBA) in Management Information Systems from Emory University - Goizueta Business School. Additionally, she holds an Associate Degree in Philosophy from Oxford College of Emory University. Her studies have equipped her with a strong foundation in both technical and analytical skills.
Professional Background
Kucina Li has held various positions that demonstrate her expertise in data analysis and project management. She worked as a Project Analyst at Bain & Company and as a Strategic Data Analyst at UnionPay International. Her experience also includes roles as a Business Analysis Intern at Lei Shing Hong Machinery and an Associate Consultant Intern at DDI | Development Dimensions International. These positions have provided her with a diverse skill set in data handling and analysis.
Research Experience at University of Chicago
During her time at the University of Chicago, Kucina Li engaged in significant research projects. She worked as an NLP Research Assistant and contributed to a Big Data Project focused on Amazon Reviews. Additionally, she was involved in a project predicting H1B Visa Status using Python. These experiences allowed her to develop multi-class models and analyze complex data sets, enhancing her research and analytical capabilities.
Data Analysis Projects
Kucina Li has worked on various data analysis projects that involved handling extensive data sets. She developed models to forecast case processing times and claimant settlement amounts with a 90% confidence interval. Her analysis also covered case valuations ranging from less than 500 million to over 1000 million USD, focusing on factors influencing case duration and valuation related to prescription drugs and medical devices.