Adrian Antico is a senior data scientist based in Phoenix with 16 years of experience applying advanced analytics, ML, and optimization across industries from gaming and utilities to cloud products and marketing. He blends hands-on modeling (GBMs, deep learning, causal methods, reinforcement learning) with engineering automation—building end-to-end pipelines, production scoring, and parameterized ML tooling in R and Python. As a repeat founder and enterprise lead, he has shipped forecasting, recommendation, and ROAS/propensity systems that tie directly to business decisions and millions in savings. Notably, he has driven anomaly detection and inventory optimization in nuclear operations and led experimentation/optimization work for xCloud at Microsoft. An active open-source practitioner, he favors quantitative automation in R and Python and often wires statistical rigor into product-facing analytics. His background in math plus cross-functional leadership lets him translate complex models into operational solutions and strategy.
8 years of coding experience
10 years of employment as a software developer
Bachelor of Science - BS Mathematics; Minors: Finance Economics Philosophy, Bachelor of Science - BS Mathematics; Minors: Finance Economics Philosophy at University of Nevada-Las Vegas
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