At WAYFAIR, I built a machine-learning pricing model from 0 to 1 that delivered per-product demand sensitivity. Its A/B-tested rollout across WAYFAIR US generated +2.3% incremental revenue (+$193M) and +1.6% gross profit (+$39M).
I also shipped an LLM-based anomaly detection model that flagged erroneous supplier pricing before submission, cutting manual review load 60% while keeping false positives under 10%. A Gen-AI competitor price-matching system launched across four markets, pairing Google Lens image matching with LLM verification.
At UBER, I launched PandaPay across four SEA markets, reducing cash-on-delivery by 27%. I also developed a reorder probability engine that contributed to 16% incremental reactivations and audience segmentation that boosted in-app display ad CTR by 36%.
At INTELLIGENT MACHINES, I worked on AI products including a deep-learning image recognition pipeline and an ML-based credit scoring model. Earlier at GRAMEENPHONE, I led the build of a unified customer data platform that cut campaign audience-build time from three days to one hour.
