Project IV: Credit Card Fraud Detection

In today’s world, we are on the express train to a cashless society. According to the World Payments Report, in 2016 total non-cash transactions increased by 10.1% from 2015 for a total of 482.6 billion transactions! That’s huge! Also, it’s expected that in future years there will be a steady growth of non-cash transactions. Now, while this might be exciting news, on the flip-side fraudulent transactions are on the rise as well.

May 31, 2020

Project III: E-Signing of Loan Based on Financial History

Lending companies work by analyzing the financial history of their loan applicants and choosing whether or not the applicant is too risky to be given a loan. If the applicant is not, the company determines the terms of the loan. To acquire these applicants, companies can organically receive them through their websites/apps, often with the help of advertisement campaigns. Other times, lending companies partner with peer-to-peer(P2P) lending marketplaces, to acquire leads of possible applicants.

May 27, 2020

Project II: Movie Recommender Systems

Recommender systems are algorithms designed to help users discover movies, products, and songs by predicting the user’s rating of each item and displaying similar items that they might rate high as well. The objective is to show customers content that they would like best based on their historical activity. We will discuss two types of recommender systems: Demographic Filtering- They offer generalized recommendations to every user, based on movie popularity and/or genre.