HONG KONG SAR, China
[Summary] I am a policy-driven researcher with a Master’s degree from The University of Hong Kong, focused on translating complex macro environments into actionable business strategies. My expertise lies at the intersection of Industrial Research, Public Policy, and Evidence-Based Analysis. [Professional Track Record] Industrial Strategy & Benchmarking: During my time at the Shenzhen Research Institute, I specialized in the Embodied AI sector. By utilizing the TRL (Technology Readiness Level) framework, I conducted comparative analyses across international markets (Germany, Singapore) and domestic tech hubs. My research on industry-education integration resulted in two policy recommendations adopted by the Shenzhen Municipal Government. Operational Optimization: At Kidswant, I demonstrated a high level of "business readiness" by identifying inefficiencies in multi-center data management. I engineered a standardized automation workflow using advanced Excel (Macros & Pivot Tables), reducing processing latency by 40% and providing empirical support for a 15% improvement in resource allocation. Academic Leadership: As a Graduate Teaching Assistant at HKU, I facilitate quantitative research methodologies for 50+ students, bridging the gap between theoretical frameworks and practical data application. [Core Competencies] Strategic Research: Policy Decoding, Industrial Benchmarking (TRL), Stakeholder Management. Analytical Tools: Python & R, Advanced Excel (VBA/Macros).
* In-Class Facilitation: Provide real-time instructional support for graduate courses: Social Data Analytics and Population & Policy Analysis, facilitating the practical application of data science tools to social research and ensuring seamless classroom delivery of technical content. * Academic Quality Review: Manage the evaluation of student assignments, providing constructive feedback on statistical accuracy and adherence to academic visualization standards.
* Benchmarking Analysis: Conducted international benchmarking of the Embodied AI industry, comparing industrial policies and regulatory frameworks across Germany, Singapore, Beijing, and Hangzhou. * Policy Output: Independently authored 2 Policy Recommendations adopted by the Shenzhen Municipal Government, focusing on addressing the talent shortage in industry-education integration and bottlenecks in the flow of fundamental research knowledge. * Data-Driven Evaluation: Utilized CVSource and statistical yearbooks to construct a standardized evaluation framework for Technology Readiness Levels (TRL 1-9), providing a roadmap for tech-transfer.
* Process Optimization: Developed an automated data processing system using Excel, integrating multi-source database feedback, reducing manual processing time by 40% and improving accuracy by 25%. * Quantitative Marketing: Created cross-platform dashboards (Meituan, Douyin) and utilized Regression Analysis to identify seasonal purchasing patterns and price elasticity, improving resource allocation efficiency by 15%.
* Conducted grassroots social governance surveys, managing multi-source data collection (questionnaires, interviews, and official records). Authored 10+ departmental research reports based on multi-source data collection from grassroots social governance surveys, providing empirical evidence for policy formulation.
* Acted as Chair Leader for a multi-national team of 15; coordinated cross-cultural perspectives during international forums and led the synthesis of global governance insights into formalized publications.