Data-Driven Operational Analytics Solution

I am a data-driven strategist focused on end-to-end merchant lifecycle management, cold-start solutions, and operational optimization for SMBs, DTC brands, and factories across multiple categories.
Currently at SHEIN, I have acquired and incubated 1,200+ U.S. sellers across apparel, electronics, home, and footwear. By designing and scaling data-informed onboarding SOPs, I improved cold-start success and activation conversion by 30%. I launched the Seller Best Practice Hub and listing toolkit, empowering 500+ sellers. Leading the U.S. localization of Seller Hub and building an internal price benchmarking tool drove 10–20% uplift in BD conversion.
Previously at Traini, as a User Growth Analyst, I built lead scoring and segmentation models that optimized global acquisition campaigns, delivering a 400% increase in new user acquisition while retaining 98% of engaged users. Additional analytics experience at ByteDance and other ventures strengthened my expertise in merchant outreach, performance dashboards, and user research.
I hold two U.S. software copyrights (registration verified, certificates pending issuance): Data-Driven Business Behavior Management System and Data-Driven Marketing Planning Generation System. These recognize my proprietary methodologies for translating data into actionable business decisions.
I hold an M.S. in Marketing Analytics (University of Rochester) and a B.A. in Quantitative Economics (UC Irvine), with proficiency in SQL, Tableau, Mixpanel, and Python. I consistently translate complex data into scalable strategies that drive merchant growth and operational efficiency.