Predicting Customer Behavior from Credit Card Transactions

American Express Computer Science, 2015-16

Liaison(s): Kairavi Chahal, Terrence Fischer, Anthony Mavromatis, Brett Vintch
Advisor(s): Yi-Chieh (Jessica) Wu
Students(s): November Baez (PM-S), Kelly Lee (PM-F), Maury Quijada, Sarah Trisorus, Paula Yuan

American Express is a global financial services company with over a trillion dollars in card member spend. In order to improve the experience of American Express card members and merchants, the Clinic project uses this spend data to predict future customer transactions at specific merchants. To achieve this, the project documents and designs a framework using various machine learning models that yield accurate transactional predictions for American Express card members and merchants.