Capstone Project in Data Science

Do you want to know what our students do for their capstone projects?

Below are samples from Spring 2020. Please click students' names to learn more.

• Forecasting Baltimore Crime by Ion Barbus

• Predicting Sales For Multiple WalMart Stores by David Gill

• Predicting stock market by Spandan Gupta

• Predicting Accident Severity by Mikhail Hershfeld

• Predicting Where, and What Crimes Take Place in Baltimore City by Morgan Hewitt

• Influenza cases in New York State by Katherine Huerta

• Predicting INSTACART Customer's Purchasing Behavior by Thaiyalnayagi Karthik

• Sentiment analysis of Federal Open Market Committee (FOMC) minutes by Patrick Long

• Malware Detection using Machine Learning and Neural Networks by Brett Luskin

• Cryptocurrency price forecasting by Jimmy Nunnally

• Predicting Airbnb prices in Washington D.C. by Daniel Park

• Predictive Modeling of Opioid Prescription Fraud by CMS Providers by Willie Rubin

• Predicting Corn, Wheat and Soybean Yield by Maura Tokay