Yunhan Qi

Product Owner – Large Parcel Launch: Researched market demand and delivery pain points, aligned product design with strategy and capabilities, and produced BRDs and SOPs. Built pricing and GTM strategies with ROI-backed P&L analysis. As PMO, coordinated cross-functional teams to ensure on-time launch. Post-launch, iterated using KPI and profitability insights, delivering 10% last-mile cost reduction. International Market Expansion: Conducted market research for new country launches (Canada, Mexico). Led Mexico product launch as primary owner, successfully acquiring 5+ clients within months. Specialized E-commerce Supply Chain Products: Designed solutions for large parcel and apparel segments through research, competitor analysis, pricing, and system optimization. Onboarded 20+ clients, generating $500M+ incremental revenue annually. P&L Modeling & Analytics: Built and optimized profitability estimation models and dashboards, improving pre-sales accuracy and post-sales review for TikTok, SHEIN, Hisense, Stanley, and Away Travel. Reduced forecast-to-actual variance from 10%+ to <5%. Customized Client Solutions: Delivered end-to-end solutions (warehouse layout, P&L models, intelligent order allocation) for key accounts such as TikTok FBT, SHEIN, IKEA, and Unilever, ensuring projects were on-time, within scope, and profitable. PMO Leadership: Directed industrialized programs, including hazmat product onboarding, last-mile carrier integration, and warehouse optimization initiatives.

- Analyzed large datasets through Python, R, SQL to identify trends, patterns and correlations for volume forecasting, solution making, and business insights. - Developed dashboards with Tableau to monitor key performance indicators for company general use and clients' specific request. - Analyzed competitive market strategies and worked with operation & planning team to find optimized solutions to reduce cost, increase efficiency and then provide data-driven solutions to help on business decision making. - Implemented machine learning algorithms like Linear Regression, Random Forest for classification and prediction to work on forecasting and planning.

Track - Quantitive Finance.