Team Name | Team Analyzer |
Track | Banking |
Use Case | For any bank, It is very important to onboard good chuck on customers. Good customers will lead to good repayment, less default, and less financial loss. Our team analyzer, would like to work on solving this problem by using data science techniques to predict each individual customer's likelihood of repayment for a given portfolio. |
Technology | SAS (SAS EMiner, SAS Enterprise Guide) |
Region | AP |
Team lead | Harshil Gandhi (@hargan94) |
Team members | Parisha Bhatia (@parishakb) |
Social media handles | |
Is your team interested in participating in an interview? | Y |
Optional: Expand on your technology expertise |
INTRO TEASER :
EXPLAINER - DETAILS AS INTERVIEW:
Mentor's comment: This is Great Team!
Thanks Waldemar 🙂
Join us for SAS Innovate 2025, our biggest and most exciting global event of the year, in Orlando, FL, from May 6-9. Sign up by March 14 for just $795.