About Me

I am an undergraduate student majoring in Statistics, with a strong interest in understanding how data reflects real-world phenomena.

My academic focus lies not only in applying statistical methods, but in thinking statistically—framing meaningful questions, examining assumptions, and interpreting results within context. Through coursework and personal projects, I have worked with exploratory data analysis, regression modeling, and statistical inference to analyze real datasets and draw evidence-based conclusions.

I am particularly interested in how data can be transformed into insight through careful reasoning and clear communication. Rather than focusing solely on numerical results, I pay close attention to uncertainty, limitations, and interpretation, which I believe are essential to responsible data analysis.

This portfolio showcases selected projects and analytical notes that reflect my learning journey in statistics. Each piece represents my approach to analysis: thoughtful exploration, transparent methodology, and an emphasis on meaning over numbers.

Site Note
This portfolio is a personal academic project created to document my learning journey in statistics.
The analyses and interpretations presented here are based on publicly available or educational datasets and are intended for learning and demonstration purposes.
I strive to present data clearly and responsibly, while acknowledging uncertainty and limitations in analysis.
Feedback and constructive discussion are always welcome.