Data for Good:
A Recommender System for Microloan Crowdsourcing

Working with a team of data scientists, I explored data related to the Kiva microloan crowdsourcing platform, and built a recommender system to increase user engagement.

Predicting the Outcome of Protests

I merged data from the Mass Mobilization dataset with data related to world governance indicators to develop classification models to predict violence during protests.

NLP Classification:
A Tale of Two Subreddits

I performed NLP analysis on data from 2 service industry subreddits (TalesFromYourServer and TalesFromRetail) and built a classification model to assign text as coming from one subreddit or the other.