Fall 2024: Banking on Data
Now accepting applications.
Project Description
Collaborate with a local bank and an AETL data scientist to derive data-driven insights on customer behavior. Following a Banking 101 introduction, the project team will utilize deidentified customer records and transaction data to examine customer trends and habits, incorporating a variety of demographic factors.
Students will:
- Develop banking domain knowledge
- Work with real-world big data
- Learn and practice effective visualization techniques
- Build experience communicating technical findings to a lay audience
Past projects
- Exploratory analysis of the shopping trends of debit card users
- Development of quantitative descriptions of customers utilizing different banking products
- Design and implementation of machine learning models to predict the strength of a customer’s relationship with the bank
Qualifications
- Current Notre Dame or St. Mary’s undergraduate student – preference will be given to rising juniors and seniors
- Some programming experience (Python or R preferred)
The project is offered for 2 credits, with an expected workload of 6 hours per week.
Questions? Contact Margaret Nichols (menichols@nd.edu).