o Led analytics roadmap for commercial growth, translating pricing, traffic and revenue data into data-backed recommendations for business leaders. o Designed and maintained scalable data pipelines and automated quality checks, improving data availability and reducing reporting latency across analytics workflows. o Built intraday forecasting and hourly target models to monitor revenue performance and campaign execution, achieving forecasting accuracy of 90%. o Conducted A/B testing on voucher and pricing mechanics, increasing CTR, collection and redemption rate by over 4%. o Launched seller subscription program with commission-based pricing and MOV-linked subsidies, increasing seller AOV by $1.

o Built compliance governance dashboards and decision frameworks to identify seller/product risk and enable timely business action. o Conducted cohort analysis on return/cancellation behavior to guide interventions, reducing rates by 1% monthly. o Launched commission-based agent program to drive seller acquisition, boosting on-ground share by 7%. o Led monthly P&L and subsidy planning with KAMs, improving performance accountability and reducing subsidy burn. o Built subsidy cost model for free-shipping program, increasing guided order share by 11%.

o Defined campaign anomaly benchmarks to detect price manipulation, flagging 6,000+ products during the 11.11 campaign. o Built weighted product and seller segmentation models to identify candidates for Mega/Hot Deals and Key Account selection. o Developed cross-functional KPI dashboards across ventures to monitor campaign performance, revenue impact and campaign health. o Analyzed pricing mechanics and promotional tool impact at granular level to guide campaign strategy and stakeholder decisions. o Translated campaign findings into actionable recommendations for commercial, category and leadership stakeholders.

o Analyzed food delivery KPIs using Redash and complex MySQL queries, translating data into merchant and zone-level actions. o Conducted Python-based zone analysis, improving on-time delivery and merchant reliability from 92% to 98%.