Given a set of transactions, we need to identify which are recurring with a particular periodicity(e.g:- payroll transactions, power bill, Netflix subscriptions etc). This is being used as part of our financial wellness application to calculate the user's liability/income etc.lg...Expand

We are transforming the loan process for people who don't have credit history/credit score(FICO) yet but they have Ability to payback the loan amount. lg...Expand

Created an automated framework using statistical methods for monitoring a ML-based application which deals with a high volume of data. This framework is responsible for monitoring the model after deployment in the production and generates alarm if the model is not performing as expected Created Tableau Dashboard for visualization of model performance over the time. Algorithm Used:-Statistical Methods, Probability Distribution, Backtesting Technology Used:-SQL, Python, Tableaulg...Expand

Can we select a small subset of our data which can give the best financial market insight for the USA. We have a huge dataset, it is difficult to get the best insight from such a huge dataset because it consists of a lot of noise and requires huge processing power(directly proportional to cost) Algorithm Used:- Clustering Algorithm, Multiobjective Optimization, Genetic Algorithm Technology Used:- R, Python, SQL, AWSlg...Expand

Can you predict a person's income class/ residential location/ work location/ employer/ family size using the aggregated bank and card transactions data. I was the sole owner of these project and currently it is consumed by multiple clients. Algorithm Used:- Majority Voting, Weighted Voting, DBSCAN Clustering, K-Means Clustering, XGBoost, Decision Trees Technology Used:- SQL, Apache Spark, Amazon EMR, R, Python, Tableaulg...Expand