I'm a Data Scientist with a strong foundation in Computer Science and a passion for building intelligent, data-driven solutions. My work spans a wide range of technical domains—from deep learning for medical imaging and mortgage risk prediction to interactive data visualization and full-stack development. I specialize in applying machine learning models to real-world challenges with an emphasis on both predictive accuracy and model interpretability. With hands-on experience in tools like Python, SQL, TensorFlow, Tableau, and cloud platforms such as AWS and GCP, I enjoy transforming complex datasets into actionable insights. Outside of my professional work, I lead several community clubs focused on technology, tea culture, and automotive adventures, where I build lifelong relationships and foster opportunities for growth and collaboration.
Gained a robust foundation in machine learning, deep learning, computer vision, and data-driven systems through a curriculum jointly administered by the Departments of Electrical and Systems Engineering (ESE) and Computer and Information Science (CIS). Developed skills to build and optimize intelligent systems that address real-world engineering challenges, with hands-on experience in algorithm design, big data processing, and ethical AI deployment.
Achieved a cumulative GPA of 3.88/4.00 and was listed on the Dean’s List for Academic Achievement. Coursework: Engaged in a rigorous curriculum that included Database Management, Data Visualization, Machine Learning, Data Mining, and Statistical Analysis. These courses equipped you with advanced analytical skills and the technical proficiency required to manipulate and interpret complex datasets.
Gained a robust foundation in machine learning, deep learning, computer vision, and data-driven systems through a curriculum jointly administered by the Departments of Electrical and Systems Engineering (ESE) and Computer and Information Science (CIS). Developed skills to build and optimize intelligent systems that address real-world engineering challenges, with hands-on experience in algorithm design, big data processing, and ethical AI deployment.
Outside of my professional work in data science and technology, I’m passionate about automotive culture, community leadership, and cultural exploration. As the Vice President of the Mercedes Car Club and Sichuan-Tibet Line Club in Yangzhou, I’ve organized road trips across China and created meaningful connections among car enthusiasts and local businesses.
I’m also a green tea enthusiast and member of Tea Club in my hometown Yangzhou, Jiangsu, China, where I enjoy curating and sharing global tea experiences. I value building lifelong relationships and creating opportunities for collaboration through shared interests.
In my free time, I explore business opportunities, travel for inspiration, and enjoy learning about the intersection of technology, culture, and community development.
PO Box 55211, Portland, OR 97220