Hi there, I'm Thomas.
After working in data-driven econometric consulting, I fully immersed myself in my technical education and completed a three-month coding bootcamp.
I am merging my statistics and programming skills as a data science fellow at NYC Data Science Academy and looking for a dedicated and ambitious team to join as a data scientist.
This 11-week course introduces and applies data science and machine learning tools and technologies. Students gain experience in data munging, programmatically creating predictive data models, applying probability and statistics, and communicating research results to appropriate audiences.
This course explored inadequacies of economic assumptions of rationality for market participants and institutions. By combining psychology and neuroscience with economic modeling, the course examined concepts such as portfolio choice, auction bidding, saving, procrastination, cooperation, and persuasion.
Introduction to multiple regression techniques influding discrete response, panel data, time series models, omitted variables, sample selection, and randomized and quasi-experiments, and instrumental variables.
A Ruby on Rails web application allowed users to save beers they try and to post opinions about those beers. This group project used the BreweryDB API.
This forum satirzed popular fraternity "bro" culture. Implemented with Node.js and SQLite3, this site allowed users to create, read, update, and delete user-generated content. The site also developed a multi-faceted voting system for posts and comments.