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.
Commercial analytics AI project using real campaign data to predict customer response, rank customer propensity, evaluate lift, and generate next-best-action recommendations for sales and marketing decision support.
Personal portfolio website of Ajibola Ayomide Odeyemi, an Active Data and Business Analyst. Showcasing commercial analytics, BI dashboards, and data pipelines.
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.
Predictive analytics for non-life insurance (IARD) claims - ML classification, anomaly detection and KPI dashboards using Python and MySQL.
Business-focused analysis of discount strategy using Python and Power BI
Commercial Analytics, Sales Forecasting, Business Intelligence, Python, Machine Learning and Looker Studio.
Power BI and SQL analysis of a $2.3M retail portfolio identifying profit leakage drivers and margin erosion across categories includes pricing optimization simulation with $182K uplift estimate.
Optimization-driven product selection for commercial buying decisions under budget and business constraints.
Power BI + Python FMCG promotional ROI case study evaluating uplift, margin impact, promo cost, cannibalisation risk and account-manager-facing recommendations.
Python-based pricing optimization project using retail transaction data, machine learning, and simulation to identify profit leakage and estimate a $182K margin uplift.
An end-to-end commercial analytics engine built in Excel, featuring automated KPI tracking, customer segmentation, and delivery operations monitoring.
End-to-end SQL Server and Power BI commercial analytics project using synthetic UK sales data, covering revenue, profit, sales targets, returns and marketing ROI.
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.
Sales performance analysis using Python (Pandas, Matplotlib) based on the Global Superstore dataset
Dynamic pricing model using demand elasticity and competitor signals - built with Python, tested across multiple pricing scenarios
Power BI commercial analytics project featuring advanced DAX and dynamic time intelligence to track customer loyalty and billing efficiency.
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