Yasel Garces is a Director of Data Science and Analytics with over a decade of experience turning complex data and images into production-ready AI solutions across e-commerce, real estate, and biotech. Holding a Ph.D. in Mathematics and Computer Science, he has built MLOps frameworks, scaled teams rapidly, and shipped generative-AI and computer-vision products that link synthetic imagery to real-world recommendations. His work reduced anomaly-detection runtimes by 99% and produced models with consistently high precision and recall, reflecting a strong blend of theoretical innovation and pragmatic engineering. Comfortable across AWS, GCP, Databricks, and visualization stacks, he bridges research-grade methods (novel metrics, algebraic approaches to image distance) with business impact, embedding analytics into product and sales strategy. Based in Atlanta, he’s as likely to prototype new distance metrics from ring theory as to lead cross-functional teams that turn prototypes into revenue-generating features.
10 years of coding experience
12 years of employment as a software developer
Deep Learning Nanodegree, Artificial Intelligence, Deep Learning Nanodegree, Artificial Intelligence at Udacity
MSc in Mathematics, Mathematics, 5.0/5.0, MSc in Mathematics, Mathematics, 5.0/5.0 at University of Havana
PhD in Mathematics and Computer Sciences, Computer Sciences, Mathematics, PhD, PhD in Mathematics and Computer Sciences, Computer Sciences, Mathematics, PhD at Autonomous University of Morelos
Data Science Specialization, Data Science, Specialization, Data Science Specialization, Data Science, Specialization at Johns Hopkins University School of Education
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Yasel Garces - Director Data Science And Analytics