A few interesting details about me. I am an avid Mainer, and love to spend my free time exploring the many corners of my beautiful state. I am an avid reader, and I especially enjoy novels and historical nonfiction. I also play guitar in an alt-rock band, which you can listen to here (if you dare).
I recently graduated from Middlebury College wtih a Bachelor of Arts in both Math and Physics. At Middlebury I specialized in data science and probability theory, and balanced my courseload with a variety of humanities based classes. I am currently seeking full-time employment as a data analyst, and continue to further my learning in data science through broad daily research.
I love telling a story. Making a beautiful and compelling presentation is one of my favorite skills.
Machine learning is more than an API call to scikit-learn. I love the math and theory as well as the implementation.
Data science on the largest scale. I have conducted research in dual quasar research, using advanced theory and astrophysical data manipulation software.
Statistical Methods - 5
Visualization (Plotly) - 3
R - 5
Python - 4
Servers (Linux / Bash) - 4
Databases (SQL) - 3
Take a look at my recent work.
Using a variety of supervised and unsupervised learning techniques to predict presidential election results based on county demographics in the United States.
This is my capstone project for the math major at Middlebury College. I researched Large Deviation Theory, which is a subsection of advanced probability.
This is my capstone project for the physics major at Middlebury College, written in Fall 2019. I used mathematical modeling software, GALFIT, to simulate a number of sources exhibiting dual quasar characteristics.