Summary
Jahaziel Sánchez is a Senior Data Scientist with 6 years of experience building production-ready ML and deep learning systems across fintech, retail, and AI labs, now based in the Greater Bilbao area. He holds a master's in mathematical modeling, statistics and computation and completed data science and ML studies at Johns Hopkins and University of Washington, blending rigorous theory with practical deployment. Jahaziel has led AI teams and shipped models for recommendations, demand forecasting, credit risk, image recognition, NLP and CE-marking documentation, plus recent work on embeddings and multitask deep learning. He favors automation and reproducible pipelines, turning complex analytics into dashboards and operational workflows under production pressure. Notably, he helped place his team 7th in the KDD 2017 data mining competition, reflecting strong applied problem-solving at scale. Colleagues describe him as organized, proactive and skilled at bridging technical depth with stakeholder-focused results.
6 years of coding experience
4 years of employment as a software developer
Machine Learning, Machine Learning at University of Washington
Máster Universitario en Modelización Matemática Estadística y Computación, Máster Universitario en Modelización Matemática Estadística y Computación at EHU
Johns Hopkins University
Bachiller Ingeniería Estadística, Bachiller Ingeniería Estadística at Universidad Nacional de Ingeniería