Precision Product Strategy.
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High-LTV users were churning at month 3 due to hidden pricing friction found in cohort analysis.

Built a logistic regression model on behavioral cohorts to identify churn drivers and designed a targeted pricing intervention.

Saved ~$120k per quarter by retaining high-value cohorts.

40% drop-off at the "Guest Login" step signaled excessive friction for new users.

Hypothesized and A/B tested a "One-Page Guest Checkout" flow to remove the account creation barrier.

Increased checkout conversion by 12%, contributing to a $240k annualized revenue uplift.

Random city launches led to high driver acquisition costs due to poor supply-demand matching.

Developed a GeoPandas scoring model to prioritize cities based on "Delivery Density" vs. "Labor Cost".

Reduced Customer Acquisition Cost (CAC) by 15% by launching in high-efficiency zones.