Indian Credit Risk Prediction Model

This project aims to create a credit risk model catered specifically to Indian borrowers. We're left to interpret some specifics, as certain questions were skipped, but it's clear the following was requested: Ideal Candidate: • Proficient in statistical modelling and analysis, especially in the field of credit risk. • Understanding of Indian financial landscape and systems. • Be able to draft detailed, coherent, and extensive project proposals, outlining your specific plan of action. Project Proposal Essentials: • Provision of a clear strategy for creating the credit risk model. • Potential statistical methods to be considered for utilization. • Explanation about the interpretation of the results and the corresponding strategies which will be recommended based on these. The goal is to provide a reliable means to predict the likelihood of default from Indian clients, assess their creditworthiness, and identify potential risks. Successful freelancers will thereby contribute to informed and efficient decision-making in lending processes. You are requested to create an Indian credit risk (default) model, using the data provided in the spreadsheet. Dataset (refer to the attachment) Data Description ( refer to the attachment) Hints: Dependent variable - We need to create a default variable that should take the value of 1 when net worth next year is negative & 0 when net worth next year is positive. Validation Dataset - We need to build the model on a training dataset and check the model performance measures on the validation dataset. Reference - [login to view URL]