Context
Introduction
A mysterious “coding issue” in Equifax’s AI-driven credit scoring system led to consumers receiving inaccurate credit scores in early 2022, illustrating risks within the financial services and data infrastructure industry.
Role
Business Objectives
The task is to proactively detect and mitigate data drift or coding defects in credit scoring pipelines before they affect consumers.
Products
Codebook
ID, Customer\_ID, Month, Name, Age, SSN, Occupation, Annual\_Income, Monthly\_Inhand\_Salary, Num\_Bank\_Accounts, Num\_Credit\_Card, Interest\_Rate, Num\_of\_Loan, Type\_of\_Loan, Delay\_from\_due\_date, Num\_of\_Delayed\_Payment, Changed\_Credit\_Limit, Num\_Credit\_Inquiries, Credit\_Mix, Outstanding\_Debt, Credit\_Utilization\_Ratio, Credit\_History\_Age, Payment\_of\_Min\_Amount, Total\_EMI\_per\_month, Amount\_invested\_monthly, Payment\_Behaviour, Monthly\_Balance
Dataset
License
Not Provided
Tags
Data Provenance
