Lingdi Liu

- Manage end-to-end product lifecycle for a multi-category portfolio, from sourcing and supplier coordination to launch and post-market updates. Partnered closely with suppliers to monitor production KPIs, ensuring on-time delivery, quality compliance, and smooth handoffs to fulfillment teams. - Lead cross-functional collaboration between marketing, supply chain, and operations teams to align product launches, promotional campaigns, and seasonal inventory needs — contributing to a 20% increase in sell-through rates and a 15% reduction in stockouts. - Oversee Shopify storefront operations and coordinate cross-platform product management (Shopify, marketplaces, and third-party retail portals) to streamline workflows and eliminate redundancy, achieving a 25% improvement in operational efficiency. - Direct operational process improvements by mapping workflows, identifying bottlenecks, and coordinating with internal teams and external vendors — resulting in a 30% faster order turnaround and a 20% reduction in fulfillment errors.

• Delivered engaging lectures on research methodologies and academic publishing to enhance student understanding. • Evaluated students' research capabilities to assist in developing tailored project curriculum. • Guided Supply Chain Management projects, integrating theoretical concepts with practical applications.

• Designed and implemented scalable data solutions for procurement risk analysis, extracting price fluctuation using SQL. • Built an automatic reaction system using Python to detect market changes and track ESG regulation. • Collaborated with cross-functional teams to deliver companywide procurement risk management white paper.

• Utilized SQL and Tableau to analyze market data for supply chain sustainability and product enhancement. • Developed data pipelines for smart product-service systems to support key business decisions. • Built automated reporting systems to predict usage context changes for smart products using Python and SQL. • Collected and analyzed production system data with SQL and MatLab to optimize server cost and customer satisfaction.

Assist Prof. Keh with course preparation of the Research Frontiers of Management and designing performance metric for final grading.

Teach undergraduate students fundamental knowledge in Operations Research. Provide support and guidance to students to help them adopt optimization algorithms with software. Mentor students in their research projects, resulting in publications or presentations at international conferences.

Identified customers’ needs and clarified customers’ behaviors by SQL utilizing the company's knowledge database. Reacted to Customers' needs with customized financial suggests. Curated data for ticket-call system simulation and developed data-driven optimization operation models to improve overall efficiency and customer satisfaction using MatLab.

Taught high school students spatial geometry and held after-course question-and-answer sessions. Provided support and guidance to students to help them understand knowledge deeply.

My doctorate study focuses on applying optimization algorithms to solve production and operation problems, especially smart product and service systems configuration and corresponding sustainable supply chain management.

Studying queueing theory and its application in realistic service systems.