Daniel Zapata

Senior Data Scientist

Monterrey, Nuevo León, Mexico
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Summary

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Senior
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Top School
Daniel Zapata is a Senior Data Scientist with nine years of experience applying MLOps and LLMOps to industrial and commercial problems, currently driving Generative AI and deployment strategy at CEMEX in Monterrey. He has led end-to-end projects—from customer purchase prediction and procurement text classification to RAG-based chatbots and agent frameworks—that delivered measurable impact such as a 15% uplift in platform adoption and material cost optimizations. Daniel combines deep academic training (BSc IT, MSc in AI) with hands-on engineering: building production pipelines, vector retrieval systems, and React-based agents integrated into Microsoft Teams. He defined MLOps and GenAI standards at scale for a global organization, bridging research, data engineering and product teams to make models reliable and auditable. Comfortable across startups, consultancy, and heavy-industry contexts, he brings a practical knack for translating unstructured text and safety knowledge into actionable systems that improve operations and compliance.
code9 years of coding experience
job4 years of employment as a software developer
bookPostgraduate Master Artificial Intelligence, Postgraduate Master Artificial Intelligence at The University of Edinburgh
bookBachelor of Science (BSc) Information Technology, Bachelor of Science (BSc) Information Technology at Tecnológico de Monterrey
bookUPC Universitat Politècnica de Catalunya
languagesSpanish, English, Italian, Japanese
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Stats
832reputation
94kreached
4answers
41questions
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Github Skills (43)

pytorch9
python9
deep-learning8
tensorflow8
machine-learning8
data-science8
lifecycle7
apache-spark7
aesthetics7
google-cloud-ml6
alamofire6
jax6
ai6
tensorflow-serving6
databricks6

Programming languages (3)

CJupyter NotebookPython

Github contributions (5)

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Contributions:47 commits, 44 pushes, 1 branch in 1 year 3 months
Contributions:20 commits in 4 months
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Daniel Zapata - Senior Data Scientist