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Thirty Cities, One Forecast

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
L5

Interview Prompt

Our operations team runs a bike-share network across dozens of cities. We want to predict hourly demand at each station so we can pre-position bikes before rush hour. The data comes from multiple city systems and external sources in different formats. Design a pipeline that takes in this raw data and produces reliable, model-ready features.

Summary

Five cities. Five data formats. One prediction.

How This Interview Works

  1. Read the vague prompt (just like a real interview)
  2. Ask clarifying questions to the AI interviewer
  3. Write your pipeline design solution with real code execution
  4. Get instant feedback and a hire/no-hire decision

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