Muhammad Ashraf Bin Tajuddin completed Business Analytics Sprint

Built an end-to-end profit investigation that framed testable hypotheses, audited the data, wrote correct SQL to compare category and regional margins, and isolated the main profit drivers through a Pareto-style analysis. Produced a board-ready recovery plan with prioritized actions, a credible forecast, and a clear executive verdict that distinguished profitable growth from unprofitable volume.

• Leakage-Free Hypothesis Framing
• Correct SQL Aggregation and Join Logic
• Pareto Root-Cause Prioritization
• Executive-Level Business Communication