trey causey

I am a data scientist with more than nine years of experience and training in social scientific research methods, statistics, and applied machine learning. I am a data scientist at zulily and also consult in football analytics.

my work

I am an avid user of the R statistical language and do most of my analysis work in R, though I am beginning to transition my workflow to Python using the excellent pandas data analysis library.

I am methodologically diverse and enjoy expanding my statistical and machine learning toolkits. I have work examples ranging from topic modeling and text mining, semi-supervised sentiment analysis, multilevel/hierarchical regression, to random forests classification. Additionally, I am eager to advance the state of analytics in sports, particularly in the NFL. I'm also working on a project that combines text analysis with sports analytics. More detailed information can be found at each link.

my skills

For a complete list of my experience and skills, please see my resume or academic CV (PDFs). I have taught or been a teaching assistant in statistics and research methods at the undergraduate and graduate levels and hold the certificate in social statistics from the Center for Statistics and Social Sciences at the University of Washington. Relevant coursework and training I have completed includes:

I also maintain the StackOverflowR and PandasOverflow Twitter accounts, which retweet all of the newest Stack Overflow questions about R and pandas, respectively.