I am Miguel Pérez, a recent graduate student of the University of Chicago's Master in Computational Analysis and Public Policy. Previously, I worked on data science and microeconomics projects in private sector consulting and at the World Bank.

For more information, feel free to contact me via email or connect with me on LinkedIn.

• 🏢 Apartments Plus (May 2025 | Python, Django, PostGIS, JavaScript, Gemini): the webpage of Apartments Plus aggregates data for the city of Chicago (especially Hyde Park) that mainstream rental sites often do not display, such as LLM-generated summaries of building infractions, nearby grocery stores, and public transport stops and routes. This is a team project developed by eight contributors. My contributions included backend coding, product design, testing, and code review.

• 🏠 Heterogeneity of metropolitan areas in the United States (December 2024 | Python, HTML, D3.js, CSS): Interactive analysis of the economic heterogeneity in the United States at the Metropolitan Statistical Area (MSA) level, focusing on which places are improving (or not) economically in the United States based in its income, price indices, and population growth. Webpage currently available at this link.

• 💸 Reduction of the debt-to-income ratio in the United States between 2007 and 2015 (November 2024 | Python, Altair): Analysis at the state and county level of the generalized reduction in the household debt-to-income ratio that happened in the United States after the Great Recession. The findings highlight significant disparities in base levels of debt-to-income ratios and their change across states and counties, but preliminarily indicate almost no impact of this change in income and employment outcomes.

• 🏫 Distance to early education centers and optimization (March 2024 | Python, Dash, GeoPandas, Google Maps): Team project to analyze census tract distances to early education centers in Illinois and to develop an optimization model to identify census tracts where new centers would most effectively reduce travel time and improve early education access. My contributions included data retrieval using googlemaps, backend development for the optimization model, and project management.

Many repos for school projects are private to follow academic honesty policies. Code for any of the below skills is available on request.

📌 Computer Science with Applications I & II (Python) – CAPP 30121, 30122

📌 Database Management (Flask, SQL) – CAPP 30235

📌 Machine Learning (Supervised ML, Unsupervised ML, NLP, LLM) – CAPP 30254, 30255, 30271, PPHA 38829

📌 Data Visualization (Altair, JavaScript, D3.js) – CAPP 30239

📌 Cloud Computing (AWS) – MPCS 51083

📌 Software Engineering (GitHub, Django, Pytest) – CAPP 30320

📌 Statistics and Econometrics (R, Stata) – PPHA 30121, 34600, 44900

📌 Algorithms (Algorithmic Thinking) – MPCS 55001