Core Focus: My primary role revolves around the meticulous collection and organization of talent-related data from across the globe. This involves leveraging diverse datasets to build comprehensive profiles on international talent trends and dynamics.
Data Sources Proficiency: I am adept at extracting valuable insights from multiple large-scale data sources, including but not limited to academic repositories like Web of Science (WOS), Google Scholar for scholarly articles, and specialized databases such as UN Comtrade for trade statistics.
Global Perspective: By tapping into global news updates through the GDELT database and monitoring real-time conversations on social media platforms like Twitter, I ensure our data captures the latest developments and sentiments worldwide, providing a holistic view of the talent landscape.
Data Integration & Analysis: A key aspect of my work is integrating these varied data streams into unified analyses, identifying patterns, and deriving actionable intelligence. This skill set enables us to make informed decisions and strategies based on a deep understanding of the global talent ecosystem.
Driving Informed Decisions: Ultimately, my expertise contributes to empowering organizations with data-driven insights, facilitating strategic planning, and fostering competitive advantages in today's dynamically evolving global market.
Education
Master of Science - Computer Application Technology
Shantou University
Shantou
04.2001 -
Bachelor of Science - Computer Science
Shanghai University
Shanghai
04.2001 -
Skills
Data collection
Timeline
Research Assistant
Laboratory for AI-Powered Financial Technologies
07.2022 - 07.2025
Master of Science - Computer Application Technology
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