01
Data Visualization Poster
A course project focused on creating clear, meaningful visualizations using R and ggplot2 — choosing a research question, preparing the data, designing the charts, and presenting the findings in poster form.
— manifesto · ch. 01 —
about
I
turn
scattered
numbers
into
thriving
stories.
A
data science
undergraduate
at
UW–Madison,
exploring
how
raw
data
illuminates
the
real-world questions
I
care
about.
Stack
Python
R
ggplot2
SQL
pandas
scroll
02 · About
A short
introduction.
I enjoy learning by doing — connecting classroom knowledge with practical applications.
I'm currently studying Data Science at the University of Wisconsin–Madison. My academic interests sit at the intersection of statistics, programming, and data visualization — and I'm slowly building a foundation in Python, R, Java, SQL, Excel, pandas, and ggplot2 through coursework and personal practice.
I'm still developing my technical foundation, but I enjoy learning by doing. I gravitate toward projects that connect classroom knowledge with real applications — anything involving data cleaning, visualization, or analysis.
Outside of academics, I enjoy traveling, running, playing guitar, and cooking. I also care about environmental issues and hope to use data skills to better understand social and real-world challenges in the future.
03 · Selected Works
Things I've
made.
02
Java Programming Assignments
A series of assignments on Java fundamentals and object-oriented programming — classes, ArrayLists, file I/O, and step-by-step problem-solving.
03
This Personal Website
A simple, professional online space presenting my background, projects, skills, and learning progress — designed and maintained by hand.
04
Data Processing Internship
Summer experience involving data processing and technical documentation — using Python, pandas, SQL, and Excel to organize, clean, check, and document structured data.
04 · Toolkit
Skills &
tools.
Programming
Data Analysis
Visualization
Tools
05 · Timeline
A path
so far.
-
2024 — Present
Data Science Undergraduate Student
University of Wisconsin–Madison
Studying data science, statistics, programming, and data visualization. Building a stronger technical foundation through coursework and projects.
-
Coursework & Projects
Programming & Data Analysis Practice
Completed coursework and assignments involving R, Python, Java, SQL, data cleaning, visualization, and basic statistical analysis.
-
Summer Internship
Data Processing & Documentation
Worked on JSON data extraction, data cleaning, SQL queries, Excel organization, result checking, and technical documentation.
-
Future
Graduate Study & Applied Data Science
Continuing to grow in data science, statistics, machine learning fundamentals, and applied analysis — interested in graduate study in data science, statistics, bioinformatics, or related fields.
06 · Contact
Say
hello.
— Thanks for stopping by.