Commercial Pharma Analytics Lead Consultant with 5 yrs of experience helping pharma leaders turn strategy and leveraging data into decisions across field sales, engagement center, REMS, and learning strategy teams.
Currently partnering with Syneos Health to drive advanced analytics initiatives for programs accross AstraZeneca (Learning Strategy), J&J, Amgen, Regeneron, Pfizer, Sanofi, Idorsia, Astellas, BMS, Eisai, ALK covering 10+ brands, 4 therapeutic areas, and 12+ sales programs.
Expert in PowerBI, Tableau, SQL, and Python, with a talent for translating complex data into clear visualizations and impactful presentations for diverse stakeholders. Passionate and highly motivated about leveraging AI and ML technologies to drive data innovation and enhance performance.
Partnered with Commercial Learning, Customer Leadership to gather requirements and translate vision into dynamic Power BI insights dashboards: 4+ brands, 1,500+ users, 25+ metrics/KPI's.
Drove analytics and dashboard development for 12+ sales programs across 4 therapeutic areas, standardizing KPI taxonomy and delivering dynamic dashboards that tripled executive adoption and reduced reporting cycle time by 40%
My expertise spans the entire data lifecycle - from collection and analysis to visualization and presentation. I've developed over 25 dynamic PowerBI reports, automated processes to reduce manual work by 100%, and implemented multi-channel call planning initiatives that optimize patient engagement strategies for clients including:
At Johnson & Johnson, I honed my skills in Tableau and SQL, increasing user engagement by 300% and improving report performance by 60%.
Developed & maintained 7 Tableau reports for end users. Built SQL Data marts & confluence documentation in Bit Bucket.
Engaged with Technical Engineers and Product Line Owners to design and build 30 metrics that depict resource, project, and financial data thereby streamlining vendor performance within the organization.
PowerPoint Impact Analysis Deck: https://docs.google.com/presentation/d/1z1ZJ49kdyPQnvtw4-h8DJ6O5P4Ukz-Ia/edit?usp=sharing&ouid=107919866736558380389&rtpof=true&sd=true
Overview: This project is focused on systematically identifying and addressing unprofitable selections within Amazon's Fulfillment by Amazon (FBA) network. By leveraging advanced data analysis and strategic modeling, I developed actionable insights to enhance profitability and optimize inventory management.
Key Highlights:
Data-Driven Analysis: Evaluated inventory turnover, gross margins, and stockout rates across key product categories.
Strategic Recommendations: Proposed targeted strategies to improve seller performance and better align incentives with Amazon’s goals.
Impactful Visualizations: Created a comprehensive Power BI dashboard and a detailed PowerPoint presentation to communicate findings and recommendations.