Data Science

The Erdős Institute

I was a member of The Erdős Institute for the Fall 2023 cohort. With the institute, I earned the certificates and completed the projects listed below.


Data Science Boot Camp (with distinction)                                                                                             Certificate / Program


The Silent Emergency - Predicting Preterm Birth (Capstone for Data Science Boot Camp)

Preterm birth is a primary cause of infant mortality and morbidity in the United States, affecting approximately 1 in 10 births. The rates are notably higher among Black women (14.6%), compared to White (9.4%) and Hispanic women (10.1%). Despite its prevalence, predicting preterm birth remains challenging due to its multifaceted etiology rooted in environmental, biological, genetic, and behavioral interactions. Our project harnesses machine learning techniques to predict preterm birth using electronic health records. This data intersects with social determinants of health, reflecting some of the interactions contributing to preterm birth. Recognizing that under-representation in healthcare research perpetuates racial and ethnic health disparities, we take care to use diverse data to ensure equitable model performance across underrepresented populations.

Project page link (includes 5 min summary video)   GitHub link

Preterm_Birth_Exec _Summary.pdf
Preterm Birth Prediction Slides.pdf


I have supplemented by work with The Erdős Institute by learning SQL through DataCamp.


SQL Fundamentals                                                                                                                                                           Portfolio