Thanks for checking out my little website (check out the portfolio page!). I am a Data Scientist at Maritz with a Ph.D from the Political Science Department at Washington University in St. Louis. I love analysing data and currently direct this passion toward characterizing consumer behavior. This involves building models, setting up functional pipleines to standardize data and using causal inference methods to demonstrate the impacts of interventions.
In my academic career, I focused on political behavior with a particular interest in charaterizing how individuals find themselves entrenched in belief systems and what stimuli might impact these systems. The majority of my research revolved around social media with projects exploring opinions on political advertisement, the impact of misinformation interventions, the downstream effects of uncivil speech and how various news organizations evoke different types of engagement on social media.
My methodological contributions include designing and implementing automated ETL pipelines for the processing of hundreds of millions of Tweets; analyzing and visualizing complex models; project management from the experimental design phase through publication, etc.
My primary teaching experience comes from my course Python for Master's students course where I designed the curriculum and taught students the basics of object-oriented programming while preparing them to manage collaborative projects using GitHub and JupyterLab.