- π I am PhD Candidate in Economics at Columbia University.
- I use data to derive insights about how the world works.
Programming: Python (Pandas, NumPy, seaborn, Matplotlib)
Database: SQL (Postgres)
Coding: VS Code, Vim, Git
Project Link | Tools | Description |
---|---|---|
πΊοΈ World Development Indicators | PostgeSQL, Tableau | Exploratory analysis and visualizations of worldwide national accounts. |
π§ Access to Financial Markets | Python, Seaborn, Matplotlib, Tableau | Cleaned and transformed household level data to study the determinants of access to financial markets. |
π²π½ Forecasting Mexican National Accounts | Python, Seaborn, Matplotlib | Forecasted national accounts to study impact of recessions. |
π± Household Consumption | Python, Seaborn, Matplotlib, scikit-learn | Studied how households differed in their responses to a recession. |
π Stochastic Volatility | Python, Matplotlib, PyStan | Detecting (unobservable) changes in the standard deviation of GDP. |
π Interest Rates in Emerging Markets | Python, Matplotlib, Seaborn, Tableau | Visualization of insights from Neumeyer-Perri (2006). |