Objective is to investigate similarities and differences between Topic Modeling analysis and human qualitative analysis of blogs. I used Python to web scrape 65 different blog sites and R to run the modeling algorithm and get statistics on the data. I also use JavaScript and the D3 library to build data visualizations.

As president, I was responsible for running all Brotherhood and Event Board meetings, acting as the liaison for all outside organizations, and presenting an end of year report to Cornell University. We have 50 active members.

As a consultant I grade assignments and exams as well as hold office hours for students. In addition, I help students in a recitation section every week.