Other Projects
Welcome to my Coding Showcase! I’ve used Python for web scraping, data cleaning, machine learning, and data visualization. I have also used these skills for some non-academic projects. Explore my projects below.
This project is part of my dissertation research, investigating how corruption scandals influence politicians rhetoric and policy priorities. Using over 13,000 campaign manifestos from Brazilian mayoral elections, I applied text classification techniques to determine whether corruption in specific policy areas (e.g., health) leads politicians to increase or decrease their focus on those topics in their proposals. To tackle this challenge, I manually labeled a subset of the data to train machine learning models, leveraging external APIs to enhance classification accuracy. This work demonstrates my ability to handle unstructured text data, apply machine learning, and develop creative solutions with limited resources. GitHub Repository | Slides | Paper
This repository contains a collection of interactive applications and Jupyter Notebooks designed to explore and analyze Uruguay’s electoral data from 2004 through 2024. By leveraging Uruguay’s unique voter ID system and precinct-level data, I built interactive apps that let anyone explore how voting preferences have changed (or stayed consistent) from 2004 onward—across different age groups, neighborhoods, and more. This work also led to a collaboration with Semanario Búsqueda, where the tools and data were featured. GitHub Repository | Slides
