Summary
Alvaro Fuentes is a Data Science Manager with 11 years of experience leading analytics and AI initiatives across startups, consulting, and telecoms, now driving Advanced Analytics at Lift Ventures from Madison, Wisconsin. He has scaled teams and solutions at McKinsey’s QuantumBlack hub and led regional predictive analytics deployments for América Móvil, translating complex datasets into strategic, C‑level decision support. Comfortable moving between hands‑on modeling, feature engineering and production delivery, he also builds client capabilities and crafts proposals that win projects. A former founder and educator, he brings practical product sensibility—delivering interactive analytic apps and training materials—to every engagement. His academic background in applied mathematics and quantitative economics underpins rigorous approaches to causality and econometric modeling often overlooked in typical ML work. Known for bridging business and technical teams, he combines consultancy polish with startup pragmatism to turn data into measurable business impact.
11 years of coding experience
11 years of employment as a software developer
Master of Science (MS) Quantitative Economics and Finance, Master of Science (MS) Quantitative Economics and Finance at Universidad Rafael Landívar
Bachelor's degree Economics, Bachelor's degree Economics at Universidad de San Carlos de Guatemala
Master of Science (MS) Applied Mathematics, Master of Science (MS) Applied Mathematics at Ohio University
Spanish, English