Online store monetization experiment design

1. Identified potential monetization opportunity to improve buyer conversion. Discovered strong correlation between user conversion and form of payment, through exploratory analysis on longitudinal user data in Python.
2. Built interactive and scalable Python dashboard to measure impact of A/B test in store purchase flow by drawing Jackknife confidence interval and calculating statistical significance.
3. Made recommendation of running experiment to incentivize user to add credit cards as payment methods or purchase gift card, presented this recommendation and demoed Python dashboard to audience of 30 people including 6 capstone committee members.

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