● Supported clients with business analysis, documentation and data modeling● Scrapped customer reviews and product ratings from numerous websites and analyzed them using bag of words (n-grams) to understand the sentiment of customers using NLP (CountVectorizer algorithm) and identify areas of negative feedbacks ● Prepared customer attrition model to predict the retained customers and identify top target customers using lookalike modelling● Developed Customer retention models using Machine learning to enable their Outbound Marketing teams to proactively reach out to the right customers at the right time

• Gathered business and functional requirements from stakeholders to develop databases through data engineering• Built Tableau dashboards to understand the performance of the business segments by ensuring data quality and consistency• Led multiple teams towards successful execution of 50+ projects by guiding analysts, developing client relationships and serving as key POC on all aspects of projects for a Fortune 100 pharmaceutical client• Designed Targeting & Segmentation approach for a newly launched drug in Oncology therapeutical area leading to ~30% acquisition of new customers• Supported Global Sales and Revenue team by building creative and interactive Tableau dashboards to understand the performance of business segments• Using Anonymous Patient Longitudinal data (APLD), created market share reports for 4 major Oncology therapeutic areas• Designed A-B tests for improving response to Marketing channels & funnel conversion and analyzed the impact of promotional and marketing campaigns using Test-Control methodology• Implemented omnichannel orchestration engine to recommend promotional activities to increase in 20% sales of the products

• Consulted one of the top pharmaceutical companies of the world towards improvement in their reporting solutions across multiple geographies• Supported clients with business analysis, documentation and data modeling• Extensively worked on SQL, Excel, Tableau, Python, Dataiku Data Science Studio (DSS) for data analytics and operational management• Created complex data flows using ETL tools after gathering business and functional requirements from the clients• Facilitated training bootcamps for 40 new Associates, by educating them on the required business context and technologies, enhancing overall team's productivity

• BI co-owner of Health Diagnostics dashboard• Analyzed approval/rejection of health insurance claims data and drivers behind the same• Designed new Tableau based reporting solution to provide insights to senior stakeholders• Conducted root cause analysis and pattern analysis to identify issues in the common trends• Explored new data sources for interpretation of data values and relationship between tables

• Responsible for enhancement of Tableau dashboards• Supported ad-hoc analytical tasks by pulling data using SQL for targeting of customers