End-to-end A/B testing framework on 50K e-commerce user events. Frequentist + Bayesian inference, power analysis, cohort segmentation — 13 significant interaction effects identified.
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Updated
Mar 25, 2026 - Jupyter Notebook
End-to-end A/B testing framework on 50K e-commerce user events. Frequentist + Bayesian inference, power analysis, cohort segmentation — 13 significant interaction effects identified.
A/B test analysis of a software pricing experiment ($39 vs $59) — evaluating revenue impact, conversion rates, and segment-level insights to recommend an optimal pricing strategy.
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