Certified
Self-directed project
Business Analytics Sprint
Data Science · July 2026
88/ 100
A ProoV case study · educational project, not employment
Built an end-to-end profit-paradox analysis that framed the problem with quantified hypotheses, audited the data, identified the key margin drivers, and translated the findings into an executive-ready recovery plan. The work connects root-cause analysis, forecasting, and board-level communication into a coherent business case focused on profitable growth.
Graded against
- Problem Framing & Hypotheses10%
- Data Analysis & SQL30%
- Root-Cause & Forecasting25%
- Dashboard & Visualization15%
- Executive Communication & Strategy20%
Passed · pass mark 60/100
What stood out6
- Quantified the core paradox precisely: revenue +17%, profit −55%, margin 13.4% → 5.2%
- Correctly isolated the main profit drivers as raw-material inflation, logistics inefficiency, and discounting
- Produced a credible recovery forecast and tied recommendations to highest-ROI actions
- Tailored the stakeholder messaging to profitable growth, especially in the Asia discussion
- Structured Hypothesis Framing
- Leakage-Free Root-Cause Reasoning
The work I submitted20 tasks
12 tasks · 5.8k characters · 8 written answers · 282 words
- Hypothesis Sheet681 characters
- KPI Driver Map174 characters
- Data Audit100 characters
- Week1 Update949 characters
- Dashboard47 characters
- Root Causes158 characters
- Forecast272 characters
- AI Reflection412 characters
- Recommendations703 characters
- Boardroom Deck869 characters
- Stakeholder Qa628 characters
- Executive Summary813 characters
- Hypothesis Sheet83 words
- KPI Driver Map1 word
- Data Audit4 words
- Week1 Update126 words
- Dashboard1 word
- Root Causes5 words
- Forecast6 words
- AI Reflection56 words
Summarised on purpose — the submitted code and writing stay private so this page cannot be reused as an answer key. The full submission sits behind the verified certificate.