Capabilities
Pricing & incentive design.
Modular pricing, radius optimization, geo-targeted incentives — used as the policy levers that ran the supply side of the Eats marketplace.
Lifecycle frameworks.
Start / Win / Stay — acquisition, resurrection, churn — designed as a segment-targeting playbook, not a deck.
Geo-experimentation.
Stat-sig A/B design, geo-targeted experiments, weather-based flash triggers tied to real-time supply monitoring.
Campaign automation.
Python automation for thousands of incentive campaigns at a time — programmatic GTM at the scale a manual team could not run.
Internal-product adoption.
The four-surface engine — community, wiki, training, cookbook — applied to internal tools. Adoption is GTM with no marketing budget.
Evidence
Uber Eats US/CAN pricing & incentives.
Owned end-to-end across 250+ US/CAN markets on a multi-billion-dollar budget. Cut courier payout per trip by ~65%, lifted courier earnings by ~200%, lifted trips-per-hour by ~240%. Stat-sig A/B design lifted supply-hours, and Python automation ran thousands of incentive campaigns with real-time supply monitoring.
NYC market-share double.
Doubled NYC market share (~10% → ~20% YTD), grew weekly trips by ~95% — NYC #1 US/CAN, #3 global — at sub-dollar incremental cost per trip.
Start / Win / Stay framework.
Courier lifecycle framework: acquisition +~80% supply hours, resurrection +~10%, churn −~20%. Adopted as the US/CAN playbook for incentive design and segment targeting across Uber Eats.
Analytics Center adoption engine.
Four-surface engine — Lark community, foundation wiki, training course, analyst cookbook — drove Analytics Center to majority adoption (~85%) at sustained 4.0+ CSAT among thousands of commercial users. Ranked #1 of all internal sales tools.
At scale
- Multi-billion-dollar pricing & incentive budget owned
- Thousands of incentive campaigns automated via Python
- 250+ markets covered by a single pricing + incentive policy
- NYC #1 US/CAN, #3 global — at sub-dollar incremental cost per trip
Stack
SQL · Python · A/B testing frameworks · geo-targeted incentive design · real-time supply monitoring · Lark community