• Directed strategic initiatives for a Fortune 500 US pharmaceutical firm; implemented advanced data-analysis techniques to boost commercial performance and enhance brand development, resulting in a 6% increase in market share• Spearheaded the automation of data flow from Redshift databases to Tableau dashboards using Python scripts and Airflow, saving 600 hours in manual efforts• Engineered Random Forest and XGBoost models to analyze critical factors driving drug adoption trends in the US market, leveraging insights to drive $10 million in additional annual revenue• Enhanced SQL query performance in PostgreSQL by implementing Common Table Expressions (CTEs) and optimizing subqueries, resulting in a significant reduction in execution times from 120ms to 10ms• Designed and deployed 5+ self-serve Tableau dashboards for real-time KPI monitoring, improving decision-making efficiency by 30%• Mentored 6 junior Associates in Python and SQL through pair programming sessions focused on efficient coding practices

• Led data initiatives for a dynamic 50-member startup providing AI driven omni-channel customer engagement solutions• Employed API integrations and Webhooks for data extraction from omni-channel platforms, streamlining workflows with Python scripts, which decreased processing time by 30%• Led A/B testing for chatbot scripts and feature preferences across user segments, achieving a 10% boost in engagement rate