ABSTRACT
The core business of business-to-business-to-consumer financing organizations is in the field of corporate lending, housing finance, consumer finance, and asset management. The objective behind tins project is to build predictive model for Personal loan Portfolio and deploying it at the frontend afterward. Although with the help of this model, it will be easy to predict income of future as well as the existing customers in Personal loan portfolio. This model was further deployed on the cloud-based server of the company with the use of an application programming interface. Hence, when any new customer applies for a loan, the model will be triggered, and the predicted income of the customer will be generated. Hence, this predictive model will help in checking the financial health of the customers. This study touches upon Data Pulling and making it available for analysis followed by Data Preparation; Model building with the help of Machine Learning Algorithms; Out of time testing; Model Testing; Model Deployment, and Model re-calibration. Due to the sensitivity of the data worked upon and the exact model worked out, 310this chapter does not disclose the name of the organization where this model was deployed, and also does not mention the technical output of the model.
