Puneet Rajput
@puneetrajput
Data Scientist at Optum - UHG
New Delhi, India
Puneet Rajput is a Data Scientist at Optum with approximately five years of experience in core data science, specifically within the healthcare and financial domains. He has a proven track record of building advanced machine learning solutions from scratch, including fraud detection and credit risk models. Puneet holds a Bachelor in Engineering from Netaji Subhas Institute of Technology.
Experience
Data Scientist
Optum - UHG
Built GBTClassifier fraud detection to identify FWAE claims. Improved recall by 10% and savings by $300 per claim by using provider level KPIs, risk features using pysparkmllib. Developed Xgboost model to assign an emergency visit code to a claim and reduce overpayment in case of upcoded billings. NLP GPT2 BERT model to adjudicate claims on the basis of patients' submitted medical Records. Claims Inventory Management, Behavioral Health Provider Surge Analysis and Whitelisting, Technical Denials Analysis.
Data Scientist
Incedo Inc.
Risky Articles NLP model tagging for Fidelity client.
Data Science Associate
Aye Finance Pvt. Ltd.
Customer Repeat Scoring Model Project aimed at improving the repeat portfolio process. Transformed data using Customer repayment and demographic data to build a repeat scoring model to classify customers into various categories and help business in decision making on repeat loan multipliers and rejecting customers. Built Model Performance Tracker using Streamlit. Understood loan process and migrated it from Alteryx to Python. Automated pipelines. Worked on Bounce Likelihood Model (predict propensity to bounce) and Early Collection Model (predict propensity to pay). Mobile text data extraction and EDA.
Education
Netaji Subhas Institute of Technology (NSIT)
Bachelor in Engineering
Built Healthcare Analysis Model using IOT and Machine Learning to analyze future health risks.