Summary
Michael Toth is an automation consultant and data scientist with 11 years of experience helping financial advisors, RIAs, and eCommerce operators eliminate repetitive work and scale operations. He built and automated a 6-figure direct-to-consumer art business (Artful Data), automating roughly 80% of its processes with Python, R, Zapier and Make while managing a global freelance team and generating over $750K in lifetime revenue. Previously a manager of analytics and research at Orchard and an analytics associate at BlackRock, he pairs rigorous statistical modeling and production-ready tooling (R-Shiny, Python-Flask, internal R packages) with practical business outcomes. Based in Denver, he’s known for turning complex data workflows into lightweight, maintainable automations that let founders work 1–2 hours a week on businesses that once demanded full-time attention. An unusual strength is his blend of hands-on entrepreneurship and institutional analytics experience, which grounds his automation work in measurable ROI.
11 years of coding experience
7 years of employment as a software developer
Wharton School - Bachelor of Science Economics, Wharton School - Bachelor of Science Economics at University of Pennsylvania
English, Spanish, python, r