Extensive work with Python and SQL
Experience implementing various machine learning algorithms
Practice with Frequentist and Bayesian statistics
Built web scrapers utilizing several different libraries
Kaggle Competition: Anticipating Location of West Nile Virus
Projecting Outcome of MLB Gambling Scenarios
Bayesian Inference & Time Series Modeling
Web Scraping, Classification, & Natural Language Processing
Applying Linear Regression to Liquor Sales
Data Science Immersive, General Assembly Washington D.C.
University of Maryland, College Park Class of 2016
