Vaylou Vinayagasothy

I am a data-driven economist with a thesis-based Master of Arts in Economics from the University of New Brunswick, where I graduated with the highest GPA in my cohort. My work focuses on applied econometrics, economic modeling, and data analysis, using tools such as Python, Stata, and R to transform complex datasets into clear, actionable insights.

I have hands-on experience working with large socioeconomic datasets, including Canadian Census data, where I analyzed labour market outcomes, education trends, and income dynamics to support academic and policy research. My background in mathematics, computing science, and statistics allows me to design rigorous analytical frameworks and implement advanced quantitative methods efficiently.

Professionally, I have worked as a Research Assistant, Teaching Assistant, and Policy Analyst, contributing to projects involving demographic analysis, economic policy evaluation, and applied econometric research. I have also presented my research at the Canadian Economics Association and the Atlantic Association of Applied Economists, demonstrating my ability to communicate complex findings clearly to academic and policy audiences.

I specialize in:

• Econometric analysis and statistical modeling
• Data cleaning, visualization, and interpretation
• Economic research and policy analysis
• Regression analysis using Stata, R, and Python
• Working with large public datasets (Census, surveys, administrative data)

If you are looking for a detail-oriented economist who can deliver rigorous analysis and meaningful insights from your data, I would be glad to support your project.