Keerthana Arjunan

Pfizer - Patient Analytics

• Market Share Creation : Utilized LOT business rules to create market share models, significantly increasing market penetration.
• Prescription Analytics : Designed and analyzed persistency curves and prescription trends to identify gaps in payer approval, and targeted HCPs and institutions, resulting in a 10% increase in adherence rates.
• HCP Segmentation : Performed clustering analysis for Healthcare Provider (HCP) segmentation in a targeted market, resulting in a focused strategy that boosted engagement and prescription rates by 15%.

Novartis - Core Data Enablement :

• Personal Engagement Model : Developed a model to enhance one-on-one relationships between HCPs and sales specialists through social networks, resulting in a 30% increase in engagement.
• IPMM Data Operations : Led the IPMM data operations team to manage data delivery and analyze existing models in Dataiku using various digital data sources. Collaborated with multiple vendors to ensure timely deliverables.

J&J - Forecasting & Analytics:

• Time Series Forecasting: Predicted sales and drug demand to enhance inventory management.
• Patient-Based Forecasting Model: Built a robust model for pipeline products, delivering data-driven revenue projections, patient demand insights, and optimizing inventory management to facilitate strategic decision-making in the pharmaceutical supply chain.
• Forecast Assumptions Tool: Developed an intuitive tool with data on approximately 800 products, enriching market access data and conducting clustering analysis to understand product uptake, competitive landscape, and temporal variations.
• Dashboards and Automation: Managed various projects involving the design of comprehensive reports and dashboards in MS Excel. Utilized VBA to automate report generation, enabling seamless conversion to PowerPoint presentations and PDFs. This automation reduced report delivery time from weeks to hours, streamlining the data presentation process and minimizing manual errors.