Vanguard Digital Experiment – A/B Testing Analysis
Analyzed a real-world A/B experiment for Vanguard to evaluate whether a redesigned UI improved client engagement. Cleaned and merged 50,500+ client records from 3 data sources. Conducted hypothesis testing proving the redesign exceeded Vanguard's 5% cost-effectiveness threshold with significantly higher completion rates. Identified UI friction points in Steps 2 and 3 for further optimization.
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Online Retail Sales & Customer Insights
Analyzed 80,000+ e-commerce transactions to uncover sales trends, product performance, and customer revenue drivers. Built Tableau dashboard tracking monthly revenue, top products, and country-level performance.
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Marketing ROI Dashboard
Analyzed 200,000+ marketing campaign records identifying 500% average ROI and 14% conversion rate. Built interactive Tableau dashboard showing 20-30% cost-efficiency improvements through optimized channel targeting.
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Customer Churn Prediction
Analyzed 50,000+ customer records using Python and Pandas to identify churn patterns. Built an AdaBoost ML model with SMOTE achieving 78% accuracy. Deployed a Flask API and Tableau dashboard to deliver churn predictions and retention recommendations.