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City-Wide Bicycle Demand Forecasting Pipeline
A hard Pipeline Design mock interview question on DataDriven. Practice with AI-powered feedback, real code execution, and a hire/no-hire decision.
- Domain
- Pipeline Design
- Difficulty
- hard
- Seniority
- senior
Interview Prompt
We run a bike-share network across dozens of cities and need to predict hourly bike demand at each station so we can pre-position bikes before rush hour. The raw data comes from multiple city operators and external sources in different schemas and formats. Design the end-to-end pipeline from raw ingestion through to model-ready features.
How This Interview Works
- Read the vague prompt (just like a real interview)
- Ask clarifying questions to the AI interviewer
- Write your pipeline design solution with real code execution
- Get instant feedback and a hire/no-hire decision