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My Profile

Welcome to my GitHub profile! Here you can find the various projects I've developed or contributed to over the years.

I'm a recent graduate with a Masters in Data Science from American University. I took a somewhat unconventional route there. Having studied history and political science in college, I entered graduate school planning to become a policy analyst. With that goal in mind, I taught myself R before classes started. Midway through my first semester, I realized I enjoyed the R programming I was doing for an assistantship more than my classes, so I made the leap to data science.

After deciding programming was my first love, I spent much of the intervening two years writing code. After getting to grips with R, I learned Python, picked up SQL and enough Bash to get by, and dabbled in Lua. As I write this, I'm starting to learn pandas, the most popular Python data analysis library.

My GitHub activity gives a good overview of my interests. A few contributions to projects I liked (I should do more of this). Some R projects that harness the language's data manipulation capabilities. An Advent of Code repository, for practicing pure programming. And, inevitably, my personal dotfiles, an ever-growing set of configuration files centered on my Neovim setup.

I can also be found on LinkedIn at https://www.linkedin.com/in/ryan-heslin/. If you find anything I worked on even remotely useful, I'll be a happy man.

Ryan Heslin's Projects

aoc2020 icon aoc2020

Solutions for Advent of Code 2020, a series of Christmas-themed coding challenges.

dotfiles icon dotfiles

My configuration files for Neovim and other tools

islr icon islr

Notes and exercise solutions for the classic textbook Introduction to Statistical Learning with Applications in R (ISLR).

matador icon matador

Package for plotting and working with matrices and vectors.

modest_prawject icon modest_prawject

Python scripts using the Python Reddit API Wrapper (PRAW) to interact with Reddit from the command line

reglesson icon reglesson

A pure R implementation of linear regression

scraping icon scraping

Python scripts using the selenium module for web scraping

stacktrace icon stacktrace

Shiny app built for the final project of CS50, the online version of Harvard's introductory programming course

text_analysis icon text_analysis

Small project analyzing United States party platforms using the tidytext package.

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