Loan Eligibility Prediction Model
Developed a machine learning model to automate loan eligibility assessment based on customer demographics, financial status, and credit history, aiming to identify and target qualified loan applicants for a finance company.
Year
2024
Client
Finance company
Project Background
Context and Objectives
Loans are essential for both finance companies and customers. They provide capital for individuals and businesses, while generating revenue for lenders. However, the traditional loan approval process is often slow, inconsistent, and resource-intensive.
A finance company aims to automate the loan eligibility process based on customer details provided in the application form.
The primary goals of this automation are to:
Identify customer segments eligible for loans
Enable specific targeting of qualified customers
Streamline the loan approval process
This project focuses on developing an automated system to achieve these objectives, improving efficiency in loan eligibility assessment and customer targeting.