Contact Information
Email: [email protected]
Location: Charlottesville, VA
Technical Skills
- Programming/Software: Excel, Python, R, HTML, CSS
- Econometrics: Linear Regression, ARIMA, Exponential Smoothing, Trend Forecasting, Vector Autoregression
- Other Skills: Presenting results to technical and non-technical audiences, Data visualization, Excellent written communication, Customer service, Time management, Priority management, Self-teaching
Education
James Madison University
B.S. Economics, Minor Mathematics | Graduated August, 2024
Harrisonburg, VA
GPA: 3.90/4
Courses: Econometrics, Applied Time Series Analysis, Calculus I-III, Linear Algebra and Differential Equations, Complex Analysis, Advanced Macroeconomics, International Trade, International Finance
Projects
Econometric Analysis and Research: Effects of Federal Reserve Policy
January 2024 - May 2024
- Used techniques for data collection, visualization, and statistical analysis to enhance research accuracy and presentation
- Created dashboards to visualize data trends across multiple countries
- Built econometric regression models to analyze effects of Federal Reserve policies on foreign economies
Plotting and forecasting BLS data
June 2024 - August 2024
- Used R libraries and Bureau of Labor Statistics (BLS) APIs to create a pipeline to visualize and forecast any BLS series with one function
- Automatically chooses the best ARIMA model to forecast future values, eliminating systematic bias in model development
- Multi-panel functionality allows for easy and automated development of economic outlook dashboards
XGBoost: Predicting House Prices
July 2024 - August 2024
- Cleaned and transformed dataset with 60 columns of house price data
- Compared Linear Regression, Random Forest, and Gradient Boosting machine learning algorithms
- Optimized XGBoost model to achieve an accuracy score in the top 10% of competition entries