| Team Name | TMO-FCRM |
| Track | Telecom & Media |
| Use Case | The mobile app is a critical digital touchpoint for customers to manage accounts, explore services, and access support. Using dummy data from a fictional app, we will build a machine learning model to predict customer engagement and uncover insights that drive personalization, operational efficiency, and retention. |
| Technology | SAS Viya |
| Region | North America |
| Team lead | Su, Mingxian |
| Team members | Bhuvan Chennoju @BhuvanChennoju, Turgay Caglar @TurgayCaglar, Shadab Akhtar @shadabakhtar007, Yemiao Ke @YemiaoKe, Zhinan Li @Zhinan, Ninad Dike @NinadDike, Mingxian Su @usertmo-s |
| Social media handles | |
| Is your team interested in participating in an interview? | *N* |
| Optional: Expand on your technology expertise |
Jury Video
Pitch Video
Love to see how you used the SAS Hackathon to improve one of your core products. Well done! And this is also a nice example of an end-to-end analysis... very cool!
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