Assessing Bias in Mortgage Lending and Payments during the COVID-pandemic using Machine Learning Models
PERSONAL RESEARCH PROJECT
Presenting My Research at the 35th Annual Mathias Conference
Translating data science into impact, this presentation explored bias in mortgage lending during the COVID-19 pandemic through machine learning. From tackling class imbalance to evaluating model fairness, the project highlighted how technical rigor and social relevance intersect. Engaging with a vibrant academic community, the experience sharpened my communication skills and reinforced the power of data-driven storytelling.
