Ulises Teyechea
Senior Data Scientist
Mexico
Summary
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Senior🎓
Top SchoolUlises Teyechea is a Senior Data Scientist with nine years of experience turning complex data into actionable business solutions across retail, tech, hospitality, and banking. He has a strong track record of deploying production ML systems—from real-time facial recognition and drive-through optimization to predictive telecom analytics and crime-forecasting ConvLSTM dashboards—that deliver measurable operational gains. At Welocalize he engineered LLM-driven quality estimation and error-classification pipelines that boosted throughput by up to 50% and cut costs nearly in half, and he now brings that applied ML and MLOps expertise to Medallia. With a background in quantitative finance and GPU-accelerated modeling plus an MS in Computer Science, Ulises blends rigorous statistical thinking with practical engineering. He’s equally comfortable teaching advanced mathematics as he is shipping end-to-end AI systems, and he often focuses on simplifying model outputs so nontechnical stakeholders can act on them.
9 years of coding experience
10 years of employment as a software developer
Master of Science - MS Computer Science, Master of Science - MS Computer Science at Tecnológico Nacional de México campus HermosilloBachelor of Science - BS Physics, Bachelor of Science - BS Physics at Universidad de Sonora
English, SpanishGithub contributions (5)
uteyechea/How-to-implement-an-ML-pipeline
Nov 2021 - Apr 2022
Contributions:55 commits, 48 pushes, 1 branch in 5 months
uteyechea/playing-with-the-ESP32-microcontroller
Jul 2020 - Jan 2024
Contributions:2 pushes, 1 branch in 3 years 6 months
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