Sharang Saxena

Assembled a modular healthcare data stack using open-source tools to support AI-driven analytics, covering patient engagement, risk scoring, and CPT billing use cases. Evaluated BI and visualization platforms through an AI strategy lens, producing a framework that aligned tool capabilities with the needs of non-technical clinical users. Integrated GenAI-driven dashboard prototypes with mock patient data to showcase potential for automated insights, conversational interfaces, and physician-facing visual summaries.

Crafted market research surveys for instructors and students, ensuring grading tools and dashboards were tailored to the unique needs of both instructors and students. Collaborated with stakeholders to define key performance indicators, enabling data-driven decisions and improved user engagement. Developed Tableau dashboards to provide actionable insights for over 80k+ students from 80+ universities.

Analyzed 30+ DTC strategies for U.S. stakeholders using Booz-Allen Sales Estimating System (BASES) forecasting model, focusing on primary market research generating $8M+ in revenue. Executed market basket displacement studies for new drug launches across 5 major pharmaceutical clients, improving forecast precision through targeted adjustments. Oversaw bi-annual updates to Vista’s consumer and physician database, enhancing data accuracy and reliability for benchmarking and decision-making. Led training and development for new teams on the ZS's database, focusing on improving its application and effectiveness in conducting DTC studies, performing conjoint analyses, and executing demand estimation tasks. Designed 35+ surveys tailored to client-specific business challenges, leveraging primary market research methodologies to extract actionable insights and drive data-driven decision-making.