• Developed SQL and Python data pipelines to visualize sales data from over 8,000+ retail locations and integrated data from6 sources, creating Tableau dashboards to analyze market performance and customer behavior; led to identification ofunderperforming regions and implementing targeted promotions, achieving a 10% increase in activation rate.• Built, published, and customized interactive reports and dashboards to track all the order and subscriber details which helped usincrease the subscription rate by 10%.• Identified opportunities for improvement through analysis of key metrics and KPIs related to Order and subscription bysupervising 10 cross-functional teams.• Supported the team in creation and implementation of a data warehouse for storing, processing, and analyzing large amount ofstructured and unstructured order, subscription, and customer data from transactional systems and 20 other sources.• Worked on optimizing an ETL process, which improved reporting speed by 5% in the first month of implementation.

• Identified a declining pattern in Healthcare Provider (HCP) engagement metrics like page views, bounce rates, and sessiondurations using Google Analytics and implemented effective A/B testing strategies on HCP interfaces and payment options,resulting in a 15% increase in conversion rates and a 10% decrease in cart abandonment.• Segmented Healthcare Providers (HCP) showing signs of disengagement by developing interactive reports and dashboardsusing Tableau; implemented targeted retention tactics, such as personalized outreach and tailored incentives for MedicalRepresentatives; achieved a 4% increase in HCP retention rates over a 6-month period.• Identified inactive Healthcare Providers likely to engage with Medical Representatives by developing clusters using pythonand delivered actionable insights to marketing team, enhancing outreach strategies and achieving a 10% increase in renewals.