Self-directed project
Business Analytics Sprint
Data Science · October 2026
A ProoV case study · educational project, not employment
Built an end-to-end profit investigation that framed hypotheses, audited the data, and answered two SQL questions with correct aggregation and join logic. Identified Mobility as the largest category and Asia Pacific as the weakest-margin region, then translated those findings into a prioritized recovery plan, boardroom deck, stakeholder Q&A, and executive summary focused on discount governance and logistics efficiency.
Graded against
- Problem Framing & Hypotheses10%
- Data Analysis & SQL30%
- Root-Cause & Forecasting25%
- Dashboard & Visualization15%
- Executive Communication & Strategy20%
Passed · pass mark 60/100
What stood out6
- Wrote correct margin SQL using (revenue - cost) / revenue and grouped by category
- Correctly joined regions and surfaced Asia Pacific as the weakest-margin region
- Built a coherent recovery narrative linking discount discipline, logistics, and raw-material inflation
- Validated AI output by explicitly checking business definitions and schema logic
- Structured Problem Framing
- Leakage-Free SQL Aggregation
The work I submitted18 tasks
10 tasks · 7.6k characters · 8 written answers · 609 words
- Sql Category Profit288 characters
- Sql Region Join353 characters
- Forecast277 characters
- AI Reflection427 characters
- Recommendations1.1k characters
- Boardroom Deck1.0k characters
- Stakeholder Qa1.0k characters
- Executive Summary1.1k characters
- Bosch Real Case Study1.5k characters
- Teach Back493 characters
- Sql Category Profit21 words
- Sql Region Join28 words
- Forecast6 words
- AI Reflection55 words
- Recommendations109 words
- Boardroom Deck94 words
- Stakeholder Qa144 words
- Executive Summary152 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.