Mohit Gujral
@mohitgujral
Senior Manager – Data Science & Machine Learning (Member Health Risk & Provider Networks)
Noida
Mohit Gujral is an analytical professional with over 10 years of experience across Healthcare Insurance, Retail, Finance, and Marketing Analytics. He specializes in developing and deploying statistical models and analytical solutions, providing key support for Medicare Risk, Provider Network utilization, and fraud-waste-abuse analytics. His expertise includes statistical modeling, NLP, deep learning, and leading data science teams in complex business transformation projects.
Experience
Senior Manager Analytics
UnitedHealth Group
Hands on Data Science Expert with interests in Analytics Solution development. Leading a team of 8 data scientists with MBO of $10M savings. Client and Project Management for business on Machine learning statistical projects related to Fraud Waste Abuse, Member Risk Advisory and utilization of provider networks. Developed Retrospective Medical Chart Analytics solution to replace the legacy medical coding process with AI enabled coding, actual savings of $30 million annually. Developed Medicare Member Engagement score used across organization to increase Member Visits for early diagnosis of disease prospectively.
Dunnhumby
Managed a 2 member team to build the coupon picker tool for sourcing for coupons to retail consumers (FMCG). Responsible for creating a category wise report for the retail chains based on SAS and SQL insights for commercial directors. Used Statistical Model models and Gradient Boost Machine Learning to predict life stage of customers who shopped in last 52 weeks using R.
ABSOLUTDATA
Worked in a Technology Domain for a large product based client in Targeting, Linear Regression, Hierarchical Modeling and Insights generation. Developed Multi-Level Hierarchical Regression Models for generating propensity scores, resulting in improved LOB based Targeting and saving 400+ man hours per quarter.
Ameriprise Financial
Responsible for end-to-end delivery of solutions utilizing quantitative analytical techniques such Cluster Analysis, Segmentation and Predictive Modelling. Built up Sell and Cross sell for Consumer Business of the technology client. Performed Clustering and decision trees and business rule based segmentation for campaigning the clients in Latin America Region.
Analyst
Tata Consultancy Services
Conducted Hypothesis Testing for Clinical Trial Analysis and Drug Safety and Efficacy determination in clinical trials.
Education
VIT - Vellore
B.Tech