Nelson Grajales is a Senior Data Scientist with 10 years of experience applying ML and engineering to large-scale retail and supply-chain problems, currently driving data initiatives at Starbucks in El Segundo. He has built production systems that analyze terabytes of algorithm artifacts, monitor real-time replenishment across 10,000+ stores, and productionized key availability metrics that cut investigative time from hours to seconds. A former machine learning software engineer at o9, he scaled ordering algorithms with PySpark and automated model pipelines, and earlier roles at SAS honed his ability to bridge support, tooling, and customer-facing analytics. He also co-founded a nonprofit to teach high-schoolers practical ML tools, reflecting a commitment to mentorship and knowledge transfer beyond the enterprise. Trained as an electrical engineer and active in hands-on ML engineering, he blends systems thinking with pragmatic delivery of measurable business impact.
10 years of coding experience
7 years of employment as a software developer
Bachelor’s Degree Electrical and Electronics Engineering, Bachelor’s Degree Electrical and Electronics Engineering at University of Houston
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