I work at the intersections of data, technology and education. Over the last two years, I have leveraged data to help organizations optimize their business processes and developed data-driven solutions for social good.
My interests span recommender systems, language processing & big data. I'm interested in leveraging technology, in particular data science, to help people gain greater agency over their circumstances (e.g. improved education, accessible healthcare, financial inclusion).
An interactive dashboard on the web for reporting the latest international news on Covid-19.
Topic Modeling with the Latent Dirichlet Allocation (LDA) algorithm for Neural Information Processing Systems (NIPS) Research papers.
Supervised Learning to predict whether a student is going to be successful in their academics or not, so teachers can administer early interventions.
A simple movie recommendation engine that recommends movies to users based on similar ratings from previous movies.
A web app to quickly visualize football (soccer) player statistics by Club and Nationality
Investigating the impact of news on civilian confidence in the Military
A parsimonious linear regression model that uses bayesian model averaging to predict how popular a movie would be with the audience on certain movie features.
AIC Stepwise-Regression model to predict the selling price of a given home in Ames, Iowa.