Causal Science
I'm Aaron Goodin, a data science and analytics professional specializing in measurement and attribution. I’m a practitioner with experience in solving real-world business challenges.
Causal Toolkit
An interactive web application for implementing various causal inference methods: Difference-in-Differences, Causal Impact Analysis, Propensity Score Analysis, Granger Causality
Rewards Analysis
A web-based causal inference application built to illustrate three distinct analytical perspectives—Naive Difference-in-Differences, DoWhy causal modeling (including Propensity Score methods and Linear Regression), and Statsmodels OLS—applied to membership rewards data.
Campaign Sim
Creates toy campaign data with test and control groups, allowing users to generate custom datasets and analyze campaign effectiveness across customer segments, channels, and tactics. Users can also upload their own marketing campaign data for analysis through the same visualization suite and analytical reports.
Contact Us
Whether you're interested in discussing potential opportunities, sharing insights about analytics challenges, or simply want to connect over shared interests in causal inference and measurement, I'd love to hear from you.
Thank You
I appreciate your message and will respond as soon as possible. Looking forward to connecting with you.