Suresh Choudhary

Implemented and deployed Predictive Machine Learning models by combining multiple datasets (using Sql Queries) to decide the expected profit at underwriting stage obtained by applying the risk and fraud models dynamics against historical validation results on a profit target which increased profit by 15%.

I was a subject matter expert of Machine Learning, Deep Learning, Big data applications

Developed a customer retention model, segmentation, campaign cost reduction model in python using customers history with statistical analysis which increased company revenue and customer acquisition by 35% and 15% respectively . As a mentor led the team of analytics of 4 people including a data analyst, data engineer and data scientists.

My responsibility was to develop, experiment and implement the risk estimation model ( credit score model ) and fraud detection model for the Banking & Finance industry which increased company profit by 20% and reduced frauds by 60% respectively, and decision-making power to achieve the company's long term goals as well.

Created new independent features and implemented the neural network based resume posting matching model which increased the profit by 7%.