Data Science Student @ UC San Diego 🎓
Passionately leveraging machine learning and data analytics to solve real-world problems. From precision agriculture research to building full-stack applications and AR systems, I explore the intersection of technology and impact.
Mobile-first personal finance app with automated transaction tracking.
- Tech: React Native, TypeScript, Node.js, PostgreSQL
ML-powered precision agriculture platform achieving 95% model accuracy.
- Tech: TensorFlow, Pandas, Scikit-learn, NumPy
AR gesture and ASL recognition system with sub-100ms latency.
- Tech: Unity, C#, Arduino, Raspberry Pi
Connecting food donors with recipients to reduce local hunger.
- Tech: JavaScript, HTML5, CSS3, Firebase
| Category | Skills |
|---|---|
| Languages | Python, SQL, JavaScript, TypeScript, HTML/CSS, C#, Java, Swift |
| Frameworks | TensorFlow, Pandas, Scikit-learn, PyTorch, React Native, Node.js |
| Tools | Git, Firebase, PostgreSQL, Docker, AWS, VS Code, Jupyter |
| Hardware | Raspberry Pi, Arduino, VEX Robotics |
- 📧 ybhaverisetti@ucsd.edu
- 💻 GitHub
- 🎨 Figma
Note
This repository contains the source code for my Personal Portfolio Website.