About Me
I recently graduated with a B.S. in Actuarial Science and a minor in Data Science, building a strong foundation in statistics, probability, and data analysis. With a long-standing background in programming, I am comfortable reading and writing code across multiple languages. I enjoy working with real-world datasets to uncover patterns, test relationships, and communicate data-driven insights that support decision-making. Through academic and independent projects, I have applied statistical modeling and data visualization techniques to a variety of datasets. I am especially interested in using data analysis to better understand and quantify risk.
Technical Skills: C#, C++, Microsoft Excel, Python, R, SAS, SQL, Tableau, VBA.
Relevant Coursework: Applied Predictive Modeling, Statistical Methods for Forecasting, Probability and Stochastic Processes.