Jul 2015 – Present · 10 yrs 8 mos

• Microsoft :
• Currently working on sales opportunity age prediction model. Developed decision tree
• and random forest models.
• Working on text mining techniques like topic modelling,web n-grams, POS-tagging and
• text summarization to derive insights from the seller filled surveys. Healthcare POC :
• Formulated the following use cases from the provided medical and pharmacy claims data
• Developed models for predicting high cost patients using medical claims data for two
• diagnosis. Used logistic regression and Decision tree for classification.
• Developed models for predicting drug adherence of a patient from pharmacy and
• medical claims using GBMs. Trained GBM at slow, medium and high rate and used the ensemble of these models.

Oct 2012 – Jun 2015 · 2 yrs 8 mos

• Work Profile:- Incentive Compensation plan design, monitoring sales force performance
• and calculating monthly performance payouts for major pharmaceutical firm in US
• Responsible for assessing, analyzing and designing various incentive plans for the sales force teams
• Gathering requirements and business rules for ever-evolving Incentive Strategies by interacting with client/onshore
• Develop sales goals for Reps by forecasting future sales by analyzing past trends and incorporating current performance of the rep and other factors like seasonality and loss of patent.
• Led 9 member Team to devise an Incentive Compensation (IC) model using mathematical functions and statistical techniques to calculate performance based quarterly bonus of multiple sales team with different IC plans