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