Power BI dashboard analysing e-commerce sales performance using real transactional data.

End-to-end SQL and Power BI analysis of global sales performance, focusing on profitability, discount strategy, and shipping cost efficiency across markets.

End-to-end Excel-based analysis of e-commerce sales data.

Governance-first oncology launch forecaster. Quantifies revenue-at-risk from timing uncertainty using analog-based scenarios—decision support, not prediction.

Business-focused analysis of discount strategy using Python and Power BI

Analysis of Medicare CCLF claims data as part of a graduate-level Commercial Analytics course (BIA-810D). Generates actionable insights for pharmaceutical CVM (Cardiovascular Metabolic) sales and marketing strategy — covering claims trends, HCP segmentation, patient demographics, and product positioning.

Optimization-driven product selection for commercial buying decisions under budget and business constraints.

Sales performance analysis using Python (Pandas, Matplotlib) based on the Global Superstore dataset

Agentic AI prototype for commercial decision intelligence in life sciences — translating market signals into competitive, strategic, and regulatory recommendations in real time.

Tableau de bord Power BI interactif pour l’analyse de la performance des ventes, le suivi des KPI commerciaux, l’analyse des représentants et le reporting en intelligence d’affaires.

A customer intelligence and revenue analytics project focused on identifying customer retention risks, revenue concentration, and growth opportunities using cohort analysis, segmentation, customer economics, and strategic business dashboards. Built with Python, Power BI, DAX, and commercial analytics methodologies.