Prediction of Credit Risk();

Problem Solved

Traditional known Parameters used for Prediction

Manual Rules

Automating and Learning changing Behaviors


Fine Tuned to Individuals or Corporates

Non-Traditional Parameters

End to End Automation


Better Accuracy through Machine Learning

Train better and faster for Credit Risk Automation

Reduction of NonPerforming Assets (NPA)


Build of Features from Data Set during Data Preparation Stage

Transform data

Build model

Algorithm Used

  • Neural Networks
  • Random forest algorithm
  • Bayesian statistics
  • Support Vector Machine