About Me

I’m a Data Science and Cognitive Science undergraduate at UC Berkeley, interested in how data and AI can be used to understand human behavior and build practical, human-centered systems. My work sits at the intersection of data analysis, machine learning, and research—especially in contexts where interpretation and decision-making matter as much as technical accuracy.

I’ve worked on projects ranging from EEG-based emotion decoding and NLP research on LLM-generated educational texts to full-stack web applications built with React and Node.js. Through research and applied projects, I enjoy breaking down ambiguous problems, designing clear analytical approaches, and turning raw data into meaningful insights.

I’m currently seeking opportunities where I can apply data science in real-world settings, continue growing as a researcher and practitioner, and contribute to projects that connect technology with human needs.