What Naga demonstrated

Built an end-to-end profitability investigation that framed the problem with hypotheses and a KPI driver map, audited the data for issues, and wrote correct SQL to calculate category margins. The analysis connected margin erosion to pricing, input-cost, and logistics pressures, then turned those findings into a quantified recovery forecast, prioritized recommendations, and a concise boardroom narrative.

• Structured Hypothesis Formation
• Leakage-Free KPI and Data Audit Thinking
• Correct Margin Aggregation and Interpretation
• Business-Driven Prioritization