Explain project assumptions and validation methods

Q: Explain project assumptions and validation methods

This question evaluates expertise in analytics and experimentation, focusing on formulating project assumptions, selecting validation methods, and managing end-to-end data workflows and model evaluation.

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Question

Assumptions, Validation, and End-to-End Process for an Analytics/Experimentation Project

Context: You are describing a recent analytics/experimentation project (for example, building a predictive model used to target users in an A/B test, or designing an experiment to optimize a product metric). Address the following:

List the key assumptions you made and why each was justified.
Explain how you validated each assumption (e.g., EDA, sensitivity analysis, ablations, holdout or rolling out-of-sample tests).
Describe the step-by-step process from data collection to final evaluation.
Describe how you prevented data leakage and overfitting.

Explain project assumptions and validation methods

Assumptions, Validation, and End-to-End Process for an Analytics/Experimentation Project

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Explain project assumptions and validation methods

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Assumptions, Validation, and End-to-End Process for an Analytics/Experimentation Project

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