Ryan Duecker is a Senior Analytical Lead and consultative data scientist with a decade of experience helping enterprise advertisers and media brands turn measurement into actionable strategy. He has led cross-functional analytics teams and built production marketing-mix and LTV/churn models at scale for clients from Best Buy to LVMH, and served as the lead measurement partner for Amazon Ads’ Entertainment vertical. A hands-on engineer and open-source maintainer of Python data-science packages, he blends statistical rigor with product-minded automation to operationalize insights across sales and GTM teams. His background as an EMT and endurance athlete informs a pragmatic, performance-focused approach to modeling and experimentation design. Based in New York, he freelances on advanced ML and sports-performance analytics while driving measurement strategy at Google.
10 years of coding experience
5 years of employment as a software developer
Bachelor’s Degree Economics, Bachelor’s Degree Economics at University of Oregon
EMT, EMT at Fast Response School of Health Care Education
PySiMMMulator is an open source Python adaption of the R-package siMMMulator, which allows users to generate simulated data to use in testing Marketing Mix Models (MMMs).
Contributions:13 releases, 33 PRs, 92 pushes in 10 months
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Ryan Duecker - Senior Analytical Lead at SignalBee Labs