I am studying Data Science and Artificial Intelligence at Hong Kong Metropolitan University. I'm passionate about uncovering insights from data to drive impactful decisions.
I'm a dedicated data analyst with a strong background in statistical analysis, data visualization, and predictive modeling. My expertise lies in transforming raw data into actionable insights using tools like Python, SQL, SAS Programming, and PowerBi. I thrive on solving complex problems and delivering value through data-driven decisions. Participating the Metro Challenge from HKMU and being a AI & IT role,(making a website and deploy AI model) and won the $100,000 funding.
Analyzed avocado pricing and inventory data to uncover trends, regional contributions, and price-volume relationships using Python and visualization tools.
Analyzed Cardiovascular Disease Risk Classification by Using Kernel SVM with Dimensionality Reduction Techniques.