
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.