Data Science Seminar Series

Date: March 26, 2025
Time: 5:30 pm – 6:30 pm (CST)
Register Here: Click Here

Title: Unlocking Customer Growth: Using Machine Learning Models in Banking

Presenters:

• Fan Yang, Ph.D. Senior Manager, Federal Home Loan Bank Chicago
• Izunna Okpala, Ph.D. Senior Research Scientist, Discover Financial Service
• Roger Paredes, Ph.D. Senior Data Scientist, JPMorgan Chase

In this presentation, Fan Yang, a UChicago instructor and Senior Manager at Discover Financial Services, along with colleagues from JPMorgan Chase and Discover, will explore how machine learning techniques, such as boosting models, can be applied to acquire new customers in financial institutions, with a focus on credit cards.

Participants will learn how to build an end-to-end machine learning pipeline, from identifying target prospects to optimizing decision-making. Topics covered will include feature engineering, model tuning, and performance evaluation. The seminar will discuss model explainability techniques to ensure transparency and trust in financial decision-making. By the end of the session, attendees will gain practical insights into using machine learning for customer acquisition within the financial services industry.