Understanding The Business Problem Loan Applications can be daunting for both the clients and the bank organisation. A lot of resources such as time and finances , the risk of trusting a client to pay back the loans is considered for every application. Manual processing is just not efficient with hundreds of thousands of applications and can be biased a lot of the times. The Data Science Solution Using Machine Learning to automate the loan eligibility process in real time where the major eligibility criteria focuses on the assurance of getting the money back from the clients.

Objective of this Project In an era where e-commerce is taking over the world, the Fraud industry is massively growing and getting creative at the same time.Therefore, Bank Clients are looking for services that provide the best security and protection against against Fraudulent Transactions. Due to the ever-increasing online transactions and production of large volumes of customer data, it is possible to leaverage machine learning as an effective tool to detect and counter frauds, assuring clients security and minimalizing organization losses.

Objective of this Project: Utilizing Data Science applications to implement data-driven solutions for optimizing products, minimizing operational costs and generating greater returns on investments. More detailed information regarding the problems addressed are explained in my Medium Article. Lets look at some of the Machine learning and Deep Learning methods I have used: Exploratory Data Analysis and Recommendation Engine: Want your revenue growth to be on the high? Then start delivering products that meets their requirements and satisfaction levels.