Data Science Executive Week 2025

11:00am CDT N201ABC
Capstone OL-Team4
Title: Student Success and Struggles: A Data-Driven Look at UMSL 
Project Description: This project aims to identify roadblocks and challenges faced by students at UMSL that may impact program retention and graduation rates. By analyzing institutional data alongside census data from the counties where students attended high school, the study will provide a more comprehensive view of the socioeconomic factors influencing student success. Machine learning models and statistical analysis will be used to detect at-risk students early, allowing for targeted interventions. The goal is to provide actionable insights to improve student support services and overall academic success.
Master Students: Brooke Dustman, Emma Krummenacher, Val Bostick
11:30am CDT N201ABC
Capstone OL-Team5
Title: PRISM: Platform for Real-Time Insights & Strategic Marketing
Project Description: Businesses struggle to create effective, localized marketing content due to the lack of real-time insights into regional trends, audience behavior, and industry shifts. Our project addresses this gap by developing a marketing recommendation and content generation platform that provides localized, industry-specific insights for technology and healthcare businesses in Seattle, WA and St. Louis, MO. By leveraging real-time data, natural language processing, and machine learning, our platform uncovers emerging trends, consumer sentiment, and key industry developments to guide marketing decisions. These insights support automated content generation through our platform to help businesses create targeted, data-driven marketing materials that remain relevant, localized, and aligned with evolving consumer interests.
Master Students: Molly Carmody, Catherine Smith, Yeleny Montero-Lopez