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Kamil Zaynullin completed Business Analytics Sprint

  • Verified
  • Issued 17 September 2026

What Kamil demonstrated

Built an end-to-end profit-paradox analysis that framed hypotheses, audited the data, wrote correct SQL for category and regional margin analysis, and traced the profit decline to raw-material inflation, logistics inefficiency, and discounting. Delivered a clear recovery forecast and an executive-ready recommendation set focused on discount governance, logistics re-tendering, and input-cost control.

  • Leakage-Free Structural Hypothesis Building
  • Correct SQL Aggregation and Join Logic
  • Pareto Root-Cause Analysis
  • ROI-Aware Executive Communication

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