Data Science (DSC)

The Goergen Institute for Data Science welcomes you to its showcase of data science capstone and practicum projects from its undergraduate and graduate degree programs. Our students engage with industry, government, non-profits, and UR departments to conduct real-world analytics projects using data provided by sponsoring organizations. Students work in teams of three to four members over a semester to understand the business problem, process and analyze the data, and devise a solution.They engage with the project sponsor throughout the semester via bi-weekly meetings and project presentations. Since the program was launched in 2016, over 55 data science projects from 35 companies have been offered to students, spanning a broad range of industry segments including consumer retail, healthcare, agriculture, government, education and finance.Students apply their skills in predictive modeling, machine learning, data mining, statistical analysis and data visualization to extract insights for business problems posed by the sponsor. We welcome you here to visit our data science capstone project exhibits. For additional information, please visit our website. Additional examples of recent capstone projects are available here.We look forward to hearing from you!

Contact Information:

Ajay Anand, PhD – Deputy Director
ajay.anand@rochester.edu

P.J. Fernandez, MBA, CAPM
p.j.fernandez@rochester.edu


DSC Design Projects

Verifying Lake Ontario’s Water Level
The Caldwell-Fay equation (2002) attempts to model what Lake Ontario's current water level would be if dam construction had never taken place along the St. Lawrence Seaway (i.e. the natural …
Exploring Reasons Behind the Preventable Accidents of RTS Drivers
RTS is a regional transportation authority established by New York State and the goal of the project is to find the potential reasons for preventable accidents caused by bus operators. …
Clustering Methods for Finding Insights in Patient Reported Data
We were given a patient reported symptoms dataset PRO-CTCAE and applied a variety of clustering methods. The clusters were then statistically tested for associations with a selection of outcomes such …
URMC-CTSI Networking Rhythm Badge Analysis
In this project, we want to apply DSC and machine learning techniques to identify and analyze group communication and interaction patterns from the data collected, e.g. “Who interacts with whom” …
DSC Capstone: Wegmans
Wegmans grocery stores experience changes in consumer demand due to weather-related events which may result in item shortages. Our goal was to generate a list of items that are expected …