Economist and Data Scientist in Denver, CO
Through an invitation with Datacamp I was able to take and review their Python course on Unstructured learning. From this I have created an example of how to build a recommender engine. In this example we will...
Optimization is a word that gets thrown around a lot in the marketing industry. Conversations with agencies regarding their optimization strategies rarely touch on the methodology and instead chalk these decisions up to the “secret sauce” of the firm. This...
Part of my job as a Data Scientist is calculating and analyzing test results. A big area of testing is around ad performance for different groups, creative types, or placements. By using the BayesianFirstAid package I can...
Executive Summary
The Internet Advertising Bureau (IAB) reported that paid search makes up $29.2 billion of digital marketing industry’s $60 billion in annual revenue. Such a large, profitable, and efficient channel rightly deserves the attention of every marketing firm. However,...
This is my final project for a Bayesian Statistics course from Coursera. I had to create a bayesian predictive regression model that would predict the audience score of a movie given a host of review metrics.
I created this blog as a single source for all my R work (and maybe Python) moving forward. The posts will be for a range of topics, but the majority will be based on things I have created for work....
Baseball players are constantly evaluated on their performance by raw statistics. In recent years, more advanced statistics have identified true value in baseball players while highlight raw statistics that actually contribute wins for the team. Our project leverages...