WORKBENCH NOTE
Use one real project. The aim is to explain your reasoning clearly, not to make the work sound more production-ready or more impactful than it was.
Project story
- Context: What problem did you work on?
- Goal: What were you trying to learn, predict, or improve?
- Your role: What did you personally do?
- Approach: What was the workflow from data to evidence?
- Key decision: What meaningful trade-off did you make and why?
- Result: What did the evidence show?
- Limitation: What should not be overinterpreted?
- Next step: What would you do next with more time or better data?
Rehearse likely follow-ups
- Why this metric, split, model, or feature?
- What failed, and what did you learn from it?
- What was the biggest limitation?
- How would your approach work on new data?
- What would you change if the project were used for a real decision?
Honesty reminder
- Do not invent business impact, production deployment, team ownership, exact metrics, or company outcomes.
- A precise account of your real choices, uncertainty, and next steps is stronger than an inflated story.