Mayank Gupta

Site Targeted Engagement Analysis & Modeling

• Led a team of 5 data scientists to develop a standardized framework for site engagement analysis, supporting 100–200 users across the APAC, US, and EMEA regions, and optimizing engagement strategies across therapeutic areas.
• Utilized PoS tagging and generative AI to classify engagements, monitor recruitment communications, and identify barriers, scaling the framework to improve data quality, and derive actionable insights.
• Implemented an on-the-go summarization functionality for engagement data, and developed a recommendation engine using cosine similarity and XGBoost, generating site-level engagement strategies that significantly enhanced screening and enrollment rates.

Site Feasibility Analysis & Risk Management

• Leveraged GenAI and SME inputs to analyze free-text feedback, identifying compliance and quality risks for clinical trial sites across multiple therapeutic areas, enabling proactive risk mitigation.
• Streamlined outreach by analyzing feedback for potential risks, such as PI retirement and site closures, improving efficiency, and minimizing duplication of efforts.

Precision Resource Allocation of Operational Expenditure

• Designed a regression-based model with saturation functions to quantify impact of operational expenditures on value sales across region-specific MedTech accounts of a Fortune 500 U.S. Healthcare company.
• Implemented an optimized framework to strategically allocate financial resources, improving operational efficiency and increasing value sales by approximately 8%, while reducing excess expenditure by 15% across key accounts

Revenue Growth Management

• Developed a pricing and promotions analytics tool for the Asia-Pacific markets, driving 12% sales uplift, 15% ROI improvement for a Fortune 500 CPG company.
• Executed a phased rollout across multiple markets, enabling market-specific insights, and empowering stakeholders to optimize pricing and promotions strategies, resulting in significant sales and ROI growth.

Global Investigator Feedback Dashboard

• Developed and deployed an interactive dashboard for a Fortune 500 Healthcare company, automating survey reporting and enabling real-time access to insights, which significantly improved stakeholder decision-making and reduced manual reporting efforts.
• Performed advanced data analysis leveraging sentiment analysis, topic generation with fine-tuned LLMs, longitudinal analysis, and hypothesis testing to identify actionable insights on clinical trial experiences and investigator satisfaction trends.

Brand Marketing Expenses Optimization (MMx)

• Developed a regression-based framework to quantify the impact of advertising channels on consumer product value sales for a Fortune 500 U.S. Healthcare company
• Created an Excel-based optimization tool, leveraging linear programming to allocate advertising budgets effectively, resulting in a 7% ROI improvement and achieving business objectives.

Consumer Sales Forecasting

• Collaborated with the Corporate Finance Data Science team of a Fortune 500 U.S. Healthcare company to develop an end-to-end sales forecasting reusable framework. Implemented advanced time series models, achieving approximately 94% accuracy.