1.Developed a data analysis framework for real-time monitoring and decision support, significantly enhancing R&D efficiency and innovation. 2. Applied advanced data analysis techniques to explore supply chain relationships and conducted multidimensional product data analyses to identify market trends, providing actionable data support for R&D. 3. Led the design and execution of A/B tests, utilizing intelligent data analysis techniques to assess product experimental effects, providing a quantitative basis for R&D decisions. 4. Promoted data governance projects to ensure data quality and consistency. 5. Employed machine learning algorithms based on laboratory data to optimize experimental designs, improving experimental efficiency and success rates. 6. Built an efficient data monitoring system for real-time tracking of crucial data. 7. Conducted in-depth visual analyses of key data, such as laboratory costs, equipment usage, and human resources, thus providing intuitive and reliable decision support for management. 8. Spearheaded the department's digital transformation, overseeing the integration of SAP S/4HANA and Quattro, ensuring data consistency and maximizing system functionality. 9. Trained and enhanced the digital skills of departmental staff, fostering a culture of digital thinking and driving innovation. 10. Collaborated closely with global technical teams to achieve cross-departmental and cross-regional data integration and advancement of digital projects, enhancing organizational efficiency.

1. Managed diverse procurement of materials, including electronic components, motors, aluminum castings, zinc alloy castings, and machined parts, ensuring timely and quality deliveries to enhance supply chain responsiveness. 2. Conducted real-time inventory monitoring and analysis using Power BI for data visualization, achieving optimal inventory control and improving operational efficiency. 3. Utilized supply chain analysis tools to refine supplier selection and evaluation processes, thus increasing supply chain efficiency. 4. Forecasted market demand through data analysis to guide procurement planning, effectively reducing inventory backlogs and costs. 5. Leveraged negotiation skills and data insights to secure favorable procurement contracts with suppliers, resulting in significant cost savings. 6. Established a supplier performance evaluation system, continuously improving supplier management through data-driven methodologies. 7. Employed inventory analysis tools to optimize inventory levels, boosting turnover rates, and reducing capital occupation. 8. Identified potential supply chain risks through data analysis, formulating effective response strategies to enhance resilience. 9. Cultivated the team's data awareness, improving decision-making capabilities through data analysis initiatives.

1. Developed a comprehensive sales performance analysis system, providing management with regular reports to ensure alignment with key business objectives. 2. Conducted systematic analysis of retail data, tracking market trends and competitor performance, thus optimizing product portfolio strategies and enhancing market competitiveness. 3. Created business analysis models for in-depth examinations of various business scenarios, offering strategic recommendations and data support for business decisions. 4. Managed the organization and production of business data forms, ensuring data accuracy and availability as a solid foundation for business operations. 5. Employed advanced forecasting techniques to predict sales trends accurately, guiding production planning and minimizing inventory risks. 6. Established an order management system for real-time order status monitoring, swiftly identifying and resolving exceptions to improve customer satisfaction. 7. Developed an order data analysis model, collaborating with various departments to resolve complex cross-departmental communication issues through data-driven approaches, ensuring effective problem management. 8. Trained business personnel in order management skills, establishing an assessment platform and overseeing training and evaluation. 9. Enhanced team capabilities in data analysis, improving their understanding and application of data-driven insights.