Thisapplication is web-based. It is banking related product through which anyone can apply a personal loan online. In this application we are using goverment data also to verify PAN, for checking the CIVIL score, GST and AADHAR verification. Using analytical skills we are identifying the customer behaviour (BAD or GOOD). If customer is good we will further process the lending process otherwise it will declined by the Admin.

This application is web-based. It is banking related product through which anyone can apply a personal loanonline. In this application we are using government data also to verify PAN, for checking the CIVIL score, GSTand AADHAR verification.Using analytical skills we are identifying the customer behaviour (BAD or GOOD). If customer is good wewill further process the lending process otherwise it will declined by the Admin.

It is based Gradient Boosting Model technique. Through this model user can estimated the income of thecustomers.Through latest income, user can provide certain offers to the customer on different products.It had developed using SAS, Gradient Boosting, Multiple Logistic Regression and Excel.

This Project aims to get the useful insights from the dataset through automation and improve the processing that will reduce time, efforts and error for execution processing. Pulse is a monthly tracking report for the Acquisition Strategies, which is applicable for different types of banking products, like loans and cards etc. So, it describes that, Volume and performance of the strategies are in line with the benchmark /expectation at the time of strategy development or not. It is developed using Python, VBA, Excel and PowerPoint.

This Project aims to get the useful insights from the dataset through automation and improve theprocessing that will reduce time, efforts and error for execution processing.Pulse is a monthly tracking report for the Acquisition Strategies, which is applicable for different types ofbanking products, like loans and cards etc. So, it describes that, Volume and performance of the strategiesare in line with the benchmark /expectation at the time of strategy development or not.It is developed using Python, VBA, Excel and PowerPoint.