Certified
Self-directed project
Business Analytics Sprint
Data Science · September 2026
84/ 100
A ProoV case study · educational project, not employment
Built an end-to-end profit investigation workflow by framing credible hypotheses, mapping KPI drivers, auditing data quality, and writing correct SQL to compare category and regional margins. The work shows strong business reasoning and a clear ability to turn analysis into an executive-ready story structure, including dashboard components aligned to the core profit drivers.
Graded against
- Problem Framing & Hypotheses10%
- Data Analysis & SQL30%
- Root-Cause & Forecasting25%
- Dashboard & Visualization15%
- Executive Communication & Strategy20%
Passed · pass mark 60/100
What stood out6
- Used the correct profit margin formula in both SQL tasks: (revenue - cost) / revenue.
- Identified concrete data audit issues, including a missing revenue value and a duplicate row.
- Correctly surfaced the strongest pivot insight: Mobility as the largest category and Asia Pacific as the weakest-margin region.
- Selected a dashboard widget set that aligns with the executive narrative: KPI, regions, causes, and forecast.
- Structured Hypothesis Formation
- Leakage-Free KPI Mapping
The work I submitted12 tasks
6 tasks · 1.4k characters · 6 written answers · 93 words
- Hypothesis Sheet395 characters
- KPI Driver Map171 characters
- Data Audit100 characters
- Sql Category Profit318 characters
- Sql Region Join331 characters
- Dashboard49 characters
- Hypothesis Sheet35 words
- KPI Driver Map1 word
- Data Audit4 words
- Sql Category Profit24 words
- Sql Region Join28 words
- Dashboard1 word
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.