Published Paper Details:

In order to generate good revenue, every business needs to make proper data-oriented decisions. These decisions lead to the emergence of successful business strategies, which themselves are data driven. This is even more relevant in the world of banking, where the stakes are quite high. The huge number of customers increase the risk of a massive default on credit cards if banks are not being careful. Further, it becomes difficult for banks to cater to the individual needs of such a large number of customers. Therefore, we propose the usage of these machine learning practices to predict the next step, sort your data, and apply multiple algorithms to your dataset to find your target audience. Using these practices, we will be able to predict whether a customer will default their next credit card bill or will be able to repay their loan and organising the customers so that bank can manage their resources to cater to the right group of people who will buy their different schemes.