🌟 I'm César Núñez Huamán, a Peruvian economist and data scientist passionate about building data-driven solutions for public policy and social impact. Currently, I am a graduate student at The University of Chicago's Masters in Computational Analysis and Public Policy program, where I am sharpering my skills in data engineering, machine learning, and software development to tackle social challenges.
- 📊 Economist with +6y of experience across think tanks, government consultancies and international development using statistics, econometrics, data science and data engineering tools.
- 🎓 Over 5 years as a teaching assistant in microeconomics and macroeconomics at The University of the Pacific (Lima, Perú).
| Type | Tools |
|---|---|
| Languages |    |
| Data & Backend Libraries |     |
| Databases |    |
| DevOps & Infrastructure |    |
| Git & Version Control |  |
- Description: Building a platform to track voting records, bills, and party dynamics using publicly available data from Congress and regional governments in Peru to improve political accountability.
- Technologies: Python, Pydantic, SQLAlchemy, FastAPI
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- Description: Developed an interactive map that visualizes the relationship between crime rates and educational attainment/dropout in Chicago. It uses Python with libraries like Dash and Altair.
- Technologies: Python, Dash, Altair, Pandas, GeoPandas
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- Description: Created a dynamic, spatially interactive dashboard to visualize housing deficit indicators at the district level in Peru using census data.
- Technologies: R, Shiny, ggplot2, Redatam
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- Description: Developed a Python script to download and extract structured data from over 100 PDFs published by the National Ombudsman Office related to social conflicts in the extractive industries.
- Technologies: Python, BeautifulSoup, httpx, fitz(PyMuPDF), Pandas
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