A clean, professional personal website showcasing my background as a Computer Science & Data Science student at New York University.
- Responsive Design: Modern, mobile-friendly layout
- Professional Portfolio: Showcases education, projects, and experience
- Clean Navigation: Streamlined menu with essential pages
- Consistent Styling: Cohesive design throughout all pages
├── index.html # Homepage with introduction and featured projects
├── about.html # Education, background, and languages
├── projects.html # Detailed project showcase
├── experience.html # Work experience and roles
├── contact.html # Contact information and links
├── images/ # Profile photo and assets
│ └── ncl9100@nyu.edu-92381c38.jpg
├── .htaccess # Server configuration
└── README.md # This file
I'm a Computer Science and Data Science student at New York University with a passion for full-stack development, AI, and data analytics. Currently working as a Full-Stack AI Developer in Amazon's Software Engineer Mentorship Program.
- New York University - B.S. Computer Science & Data Science (Expected: May 2028)
- GPA: 3.75
- Languages: Python, Java, JavaScript, HTML/CSS, C++
- Frameworks: React, Flask, JavaFX
- Data Science: Pandas, Scikit-learn, Matplotlib, NumPy
- Tools: Git, GitHub, VS Code, Google Colab
- English (Native)
- Chinese (Fluent)
- Spanish (Fluent)
Built a responsive trading dashboard with real-time API integration using React, Flask, Zustand, and Python.
Developed a JavaFX application addressing electronic medical records accessibility.
Applied machine learning techniques including t-SNE, HDBSCAN, and K-Means clustering.
Visit the live website: [Your Domain Here]
- Email: ncl9100@nyu.edu
- LinkedIn: [Your LinkedIn Profile]
- GitHub: ncl9100
- Location: New York, NY
This website is built with:
- HTML5 for structure
- CSS3 for styling with modern gradients and responsive design
- Vanilla JavaScript for interactivity
- Mobile-first responsive design approach
This project is open source and available under the MIT License.
© 2025 Nathan Liu | Computer Science & Data Science Student at NYU