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What Kaiz demonstrated
Built an end-to-end profit-paradox analysis: framed hypotheses and a KPI driver map, audited the data for issues, wrote correct SQL to compute category and regional margins, and used pivot/root-cause analysis to isolate the main profit drains. Delivered a boardroom-ready narrative with a forecast, prioritized recommendations, and an executive verdict grounded in the numbers.
- Leakage-Free Structural Hypothesis Building
- Correct SQL Aggregation and Join Logic
- Pareto Root-Cause Analysis
- Executive-Level Business Communication
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