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  • πŸ‘‹ I am PhD Candidate in Economics at Columbia University.
  • I use data to derive insights about how the world works.

πŸ› οΈ My Tools

Programming: Python (Pandas, NumPy, seaborn, Matplotlib)

Coding

Database: SQL (Postgres)

Database

Coding: VS Code, Vim, Git

Coding Environment

πŸ“š Projects

Project Link Tools Description
πŸ—ΊοΈ World Development Indicators PostgeSQL, Tableau Exploratory analysis and visualizations of worldwide national accounts.
🏧 Access to Financial Markets Python, Seaborn, Matplotlib, Tableau Cleaned and transformed household level data to study the determinants of access to financial markets.
πŸ‡²πŸ‡½ Forecasting Mexican National Accounts Python, Seaborn, Matplotlib Forecasted national accounts to study impact of recessions.
🍱 Household Consumption Python, Seaborn, Matplotlib, scikit-learn Studied how households differed in their responses to a recession.
πŸ“Š Stochastic Volatility Python, Matplotlib, PyStan Detecting (unobservable) changes in the standard deviation of GDP.
πŸ“ˆ Interest Rates in Emerging Markets Python, Matplotlib, Seaborn, Tableau Visualization of insights from Neumeyer-Perri (2006).

Mitchell Vaughn's Projects

uber-nyc icon uber-nyc

Analysis of high volume new york taxi data

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