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.
Push Pull
Quick Push Pull and ABC Analysis. Compare inventory strategy costs and categorize stores by performance metrics. Set custom parameters, view cost breakdowns, and identify your top performers based on Pareto principles.
Campaign Simulator
Model customer segments, test various tactics, and analyze the incremental demand across different loyalty tiers and channels. Easily adjust parameters like response rates, tactic effectiveness, and customer characteristics.
Certificates
Download Résumé (PDF)${c.title}
`; gallery.appendChild(card); }); /* ===== 4. FILTER LOGIC ============================================ */ function filter(cat,btn){ filters.querySelectorAll("button").forEach(b=>b.classList.remove("active")); btn.classList.add("active"); gallery.querySelectorAll(".card").forEach(card=>{ card.classList.toggle("hidden",cat!=="All"&&card.dataset.cat!==cat); }); } 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.