Early Anomaly Detection in Marketing Data
January 1, 2022Rockerbox Computer Science, 2021鈥�22
Liaison(s): Kevin Hsu ’10, Mike Cen, Rick O鈥橳oole ’10
Advisor(s): George Monta帽ez
Students(s): Bettina Benitez, David Webber, Jacqueline Choe, Nicolas Espinosa Dice (PM), Noah Smith
Rockerbox provides a software as a service platform that centralizes marketing data and provides insights for e-commerce companies, allowing them to optimize their marketing strategies. This project鈥檚 goal is to research and develop anomaly detection methods that Rockerbox will use to ensure the reliability of their customers鈥� data. Identifying and correcting potential issues quickly and proactively will enable Rockerbox鈥檚 customers to make more accurate marketing decisions.