Analysis of Customer Behavior in Banking
Collaborate with a local bank and a data scientist from the Applied Analytics & Emerging Technology Lab (AETL) of the Lucy Institute for Data & Society 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
Name of research group, project, or lab
Applied Analytics & Emerging Technology Lab (AETL) of the Lucy Institute for Data and Society
Why join this research group or lab?
The Lucy Family Institute for Data and Society is Notre Dame's hub for everything data science, an innovative nexus of academia, industry, and the public. We offer a variety of educational opportunities for students, realizing our commitment to training the next generation of data scientists.