◆ Data Management and Governance: Managed CSCM data, restructured analytical dashboards, and redefined SAP calculation views (CV) and metrics with stakeholders worldwide ◆ Operational Optimization and Automation: Organized systematic flowcharts of global supply chain way of working, and programmed automation bots for increasing global order fulfillment ratio ◆ Strategy Planning and Project Management: Led the projects and managed the timelines and interests of global stakeholders, produced new features on SAP customized transactions, and reduced operational costs by 8,000 Euro per day ◆ Sourcing and Supply Chain: Handled global service order demands by conducting inter-company material supply, sourcing, and shipments

◆ Delivery Zone Optimization: Integrated Google Geocoding API with the data warehouse to parse parcel delivery points into latitudes and longitudes for delivery zone optimization, which reduced 53% of delivery time and increased drivers' efficiency ◆ Market Research + Strategy and Planning: Conducted formal market research on domestic logistics and delivery market, wholesale and retail market, and competitors' products through NLP and web crawler techniques, and developed business strategies for market penetration ◆ New Product Implementation: Planned product testing plans, scripts, and PRDs for delivering unique features and integrating services via 3rd-party APIs which will create strong user adoption, and validated them with stakeholders through interviews and multiple testings (e.g. FVT, SVT, and Integration Tests) ◆ Existing Product Maintenance + Automation: Programmed daily manual workflows into automated processes through web crawling technique and webhook integrations, and deployed the programs onto cloud servers, such as Heroku and Google Cloud Platform (GCP) ◆ Team Management: Led the members from non-technical bases to be able to handle basic data and programmatic matters

◆ Launched new expansion cities/territories indirectly through local agent partners and fleet partners ◆ Built an Automatic Dispatch System for matching instant orders with drivers’ locations by deploying a merged algorithm written by SQL and Python ◆ Used web crawler techniques to automatically dispatch orders to drivers and optimized whole market efficiency by 16% (increase of completion) ◆ Increased logistics backhauls by 30% by rolling out new business model with freight companies and gained delivery efficiency ◆ Planned strategies for establishing smoother funnel flows and lifted 10% and 42% of conversion rate for users and drivers respectively

◆ Conducted qualitative and quantitative researches which resulted in increasing 42% of driver conversion rate and overall revenue by 20%

◆ Strategically and precisely segmented adopted sellers by utilizing MECE, and eventually lifted the amount of top sellers growth by 21% in a quarter ◆ Used web crawler techniques to fetch daily order amount on sellers' competitor websites and calculated their wallet share on Shopee ◆ Planned initiatives for sellers whose order share was below 50% by providing exclusive commission fee to increase their order share on Shopee, and eventually lifted 30% of their order share

◆ Conducted Driver Conversion Project (with series of sub-programs) and shortened drivers' conversion day from 49 days to 24 days (in average) through various high-touch supporting experiments ◆ Led Incentive project and used R and SQL queries to analyze the WoW/ MoM spend efficiency and drivers' growth/retention rate for each driver cohort ◆ Discovered the persona of the potential riders who may take more trips in off-peak hours by using unsupervised machine learning model, and supported managers to launch relative programs smoothly

◆ Supported managers figuring out legal business model by communicating with external stakeholders ◆ Clarified driver partners' journey maps after business relaunching, then alleviated their pain points during their on-boarding journey ◆ Planned out new on-boarding flow and high-touch support strategies after interviewing with driver focus groups

◆Revamped the site through UI/UX researches through Google Analytics. Increased 28% direct traffic

◆ Assist the administrative assistant in sorting out the complaints ◆ Assist the law assistant in sorting out the current laws for the committee to propose amendments and reconsiderations for reference