Data Scientist
Current- Worked with a top three US pharmaceutical company in providing data driven solutions through business intelligence, machine learning and data visualization- Published a ML algorithm to identify which accounts will stop/decrease their ordering of the product in the upcoming months. The algorithm had an accuracy rate of ~75%. Automated the process from start to finish, so the data, algorithm and dashboard were automatically refreshed- Created a dynamic Test/Control matching tool in R Shiny. The user dynamically choose which categorical/continuous variables they want to use in the matching process. The tool was developed with two primary matching calculations, euclidean distance and propensity scoring. The tool reduced the time for a test/control analysis from data pull to impact analysis from one day to less than 30 minutesIdentified ROI impact on various marketing channels using a test/control analysis that led to the client increasing their spends in those marketing channels and resulting in 15% increase in product sales- Working consistently with the client for 2+ years resulted in the client giving Genpact new business and hiring more resources