Master of Applied Statistics student. Skilled in Python, R and SQL. Built various statistical and machine learning models, and constructed pipelines for purposes of data wrangling.Currently developing two projects:- A Catan board randomizer which improves upon the current state-of-the-art web-based randomizers by allowing for much more customization.- Sentiment analysis of entities within the media: My capstone Masters project developed during my time at DOT. Aims to combine coreference, part-of-speech tagging and sentiment analysis to determine sentiment of entities mentioned within news articles.