Data Engineering professional with a comprehensive background in supporting senior level management through data-driven analysis and experience of 14 plus years in pharmaceutical, retail, Ecommerce and market research. Experience on Azure cloud services in last 3 years and initial 11 years have been on prem technologies like SAS, Excel, Teradata and others. Significant Focus on managing client expectations and a record of consistent achievement in creating efficient and productive working environments. Ability to handle multiple responsibilities, set priorities, communicates ideas to others, and responds positively to demanding situations.
Client: GSK USA
A data lake was created for Revenue Cycle Management (RCM) in the healthcare domain. The goal was to centralize, clean, and transform data from multiple sources, enabling healthcare providers and insurance companies to streamline billing, claims processing, and revenue tracking.
Built a platform that consolidates multiple data sources related to pharmaceutical sales, marketing campaigns, HCP (Healthcare Professional) interactions, and prescription data to enable real-time reporting and analytics for the commercial team.
Built a data pipeline to segment and analyze pharmaceutical sales, Rx patterns, and rep activities by pediatric vs adult indications — using attributes like HCP specialty and age-based formulation.
Client: Dell USA
Tracking the key metrics Revenue, Units, Margin, Site visits generated through the online channels for ten markets of Dell on a daily basis and producing insightful results to the marketing team for achieving results for paid and unpaid media.
Client: GSK USA & CANADA
Worked on a voice of customer survey-based project for different therapeutic areas to measure the effectiveness of its sales force and understand the responses of the HCPs using NET PROMOTER SCORE and present the same to the respective therapeutic heads.
Client: AVON Brazil
Data cleaning, transformation and creating new variables using SAS and excel functions and presenting highly accurate data to a retail client.
Azure Data Factory