My academic and professional skillsets are quite broad as a result of continuous learning, covering applied data science, quantitative trading, finance (quantitative and qualitative analysis), economics, basic natural language processing (textual analysis), and machine learning (CNN etc.).
Besides, I had a vast range of experiences in research assistantship, leadership and volunteering, which not only underscores my inherent drive to contribute and make a difference but also equips me with a unique perspective that I believe will greatly enrich my future endeavours.
Through these roles, I've honed skills in communication, teamwork, and community building, all of which are invaluable in the realm of research, ensuring my work remains relevant, impactful, and aligned with community needs.
To help you understand who I am now and what makes me here, in case you are interested, I introduce my background on this website as three main parts as subpages of "Background":