Explain an ML Project from Model Development Through Deployment
Company: Capital One
Role: Data Scientist
Category: ML System Design
Difficulty: medium
Interview Round: Technical Screen
Overview: Prepare a data science project walkthrough that connects the prediction target and validation design to an operational decision. Explain model selection, personal ownership, training-serving consistency, deployment, monitoring, rollback, and the difference between offline evidence and online impact.
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