Pascal Ndife completed Business Analytics Sprint

Built an end-to-end profit-paradox analysis that framed the problem structurally, validated the KPI driver map and data quality, and solved the core SQL margin task with correct aggregation and join logic. The work then translated the findings into a clear root-cause story, a quantified recovery forecast, and board-ready recommendations focused on logistics, discount governance, and input-cost protection.

• Leakage-Free Root-Cause Reasoning
• Correct SQL Aggregation and Margin Logic
• ROI-Aware Prioritization
• Executive-Level Business Framing