Final Year Project for RMBI

Period: 08/2022 - 05/2023
Project Title: Credit Scoring (Predictive Analytics)
Business Partner: Spring Milestone - Mr. Akihiko Katayama, Ms. Khai San Banh
Academic Supervisor: Professor Jingyi Wang, Mr. Nick Wong
Teammates: FUNG Sum Yee (Sammi), LEE Ka Yi (Emily)

Dataiku Python Web Application Auto ML Statistics Risk Management Credit Scoring Automated Binning Interactive Binning Reject Inference

Achievement 🏆

Award of Outstanding RMBI Capstone Project 2022-23

Responsibilities:

• Established an automated credit scoring model development pipeline utilizing Dataiku.
• Developed a web application in Dataiku with Python for automated and interactive binning.
• Designed and built visualization dashboards to showcase summary statistics for both raw and processed credit risk dataset.
• Created an Auto ML dashboard within Dataiku to generate model reports automatically.
• Conducted research and provided suggestions on an automated reject inference solution.
• Formulated a test plan, conducted unit testing, and facilitated User Acceptance Testing (UAT).