Welcome to my GitHub! I'm Anna Wallin, a fourth-year Data Science student with a domain focus in Sociology. I currently conducting a Python-based undergraduate thesis analyzing how different gerrymandering metrics are affected when district lines are drawn to protect communities of interest.
This site showcases my projects, code, and repositories and the site is actively being updated as I complete new work.
- Languages: Python, C, R
- Tools & Environments: Git, VS Code, Jupyter Notebook, Jupyter Lab
- Applying data science and machine learning to political and sociological research
- Using computational methods to drive evidence-based insights on social issues
Redistricting Dashboard Created for DSCI410 (Visualization for Data Science) I made an interactive redistricting dashboard in Plotly Dash (Jupyter Notebook) synthesizing information about different re-districting committees and proposed federal and state legislation, and analyzing the effectiveness of independent redistricting commissions across U.S. states.
Crisis Response Team and Arrival Time Built for DSCI410 (Data Science for Social Justice), I conducted this real-world project to investigate disparities in crisis response arrival times by call priority level in the Eugene/Springfield, Oregon, area.
Student Academic Performance Analysis Built for CS404, my classmate and I worked off a student performance dataset from Kaggle, forecasting final exam scores from input variables, categorizing students by performance tier, and identifying key drivers of academic outcomes.
Political Donation Patterns in Professional Sports Completed for DSCI311, my final project invovled data analysis of political donations made by professional sports team owners.