Naga Sai Lakshmi completed Business Analytics Sprint
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
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