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ML Academy

Forecasting

Interview question

  • stafflevel
  • 25 minsuggested time
  • 2Data scientist, ML engineer

In the academy's synthetic airline data, a competitor increases capacity by 25% on three routes from 2024-03-01. Suppose your forecasting platform serves 2,000 route-day series, nobody noticed the change for six weeks and errors on those routes doubled (a hypothetical incident). Design the changes to the platform so this is caught and handled faster next time.

Tests: Forecasting at scale: monitoring by series and segment, structural-break detection, human-in-the-loop overrides, model fallbacks, and incorporating known external events.

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