Summary
Danton Noriega-goodwin is a Principal Data Scientist with 11 years of experience building demand forecasting, cost modeling, and data products for large cloud and AI platforms at Microsoft and Apple. He blends rigorous econometrics and causal inference (PhD, Duke) with pragmatic engineering—authoring internal R packages, production dashboards, and CI/CD-deployed forecasts to inform finance and infrastructure decisions. At Apple he led and grew data teams that measured Private Cloud Compute demand and delivered platform optimizations that reduced costs across iCloud and Services; at Microsoft he now focuses on agentic workflows for CoreAI. Comfortable moving between hands-on coding, statistical modeling, and stakeholder communication, he emphasizes reproducibility, language-agnostic tooling, and mentoring. A longtime R power-user who started in academic policy research, he brings a rare combination of policy-trained causal thinking and production-grade cloud forecasting.
11 years of coding experience
12 years of employment as a software developer
University of California, Irvine
M.S. Applied Statistics, M.S. Applied Statistics at California State University, Long Beach
Transfer, Transfer at Orange Coast College
Doctor of Philosophy (Ph.D.) Public Policy (Economics concentration), Doctor of Philosophy (Ph.D.) Public Policy (Economics concentration) at Duke University
M.A. Economics, M.A. Economics at Georgetown University
Spanish