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A/B test analysis for Maven Fuzzy Factory comparing bounce rates between the original homepage (/home) and a new landing page (/lander-1). Using SQL to filter traffic, calculate bounce rates, and verify statistical significance with 95% confidence intervals. Includes business recommendations and next steps for implementation.
A data-driven A/B testing project comparing website performance under Light and Dark themes. Analyzes user engagement metrics using statistical tests, correlation analysis, and predictive modeling to identify behavioral patterns and theme effectiveness. Built in Python using Jupyter Notebook with pandas, seaborn, and scikit-learn.
InSiteFrame: A lightweight JS plugin for embedding secure, external content in slide-in frames on your site, enhancing user retention without navigation away.