My name is Maria Gabriela Ayala, my interests lie at the intersection between data 📊, technology 💻, and public policy 🏛️. I am passionate about leveraging data science and technology to enact social impact and improve people's lives.

🎓 I hold an MSc in Computational Analysis & Public Policy (MSCAPP) from the University of Chicago, a Master in Public Administration (MPA) from the London School of Economics and a BA in Economics, Chinese, and Italian from Vassar College.

Note: To adhere to academic integrity regulations and honor professors' intellectual property, school assignment repositories are kept private. Upon request, the code can be shared with potential employers.

• Rising Poverty in Ecuador: Indigenous Peoples and Females at Risk. Data visualization using D3.js to explore poverty patterns in Ecuador. See code.

• Prototype for participatory budgeting in Chicago wards, programmed feedback page in D3.js to increase citizen engagement and transparency.

• Dashboard on Mexico's workforce Development, built in Dash with Plotly. Private repository to safeguard government data, please contact me for more information. Here is a video of the end result.

• Dashboard on violence against people with disabilities for the Department of Homeland Security and the McCainInstitute's Invent to Prevent (I2P) competition to reduce target violence and hate crime.

• Dashboard on vaccine uptake by US county. The project retrieved vaccine data from the CDC's API and elections data using web scraping. US map built on Plotly Dash.

• Full stack AWS web application to process genomics sequences with functionalities to upload, annotate, notify, archive, and restore files on the cloud.
• Large Scale Computing and cluster computing. Repository contains parallel programming principles, AWS, CPU vs. GPU usage, and PySpark application.

• FabDogs iOS app built with Swift in XCode.

• Black Jack Simulation in JavaScript.

• Wookieleaks Space Website, retrieving data from 3 RESTful API's.

• CO2 Emissions Cafe, team entry for the UChicago 2023 Uncommon Hacks competition.

• Divvy Bikes Station Finder, built with React.

• REST API of restaurant inspections, linked to database using SQLite3 and Flask

• Web scraping and web crawler with Beautiful Soup
• ML Classification Algorithms: Decision Tree, Perceptron, Logistic Regression, Neural Networks
• Visualizing Avian Biodiversity Using Treemaps with Recursion
• Polling Simulator

• Paws Return app prototype to find lost dogs, made in Figma. View presentation.

• Perfect Gift app prototype, made in Figma.

• Course Registration website redesign prototype built in Figma.