Universidad Autónoma de Aguascalientes
Bachelor's Degree in Finance Administration, Finance Administration, Computer Science
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I bring over three years of focused work at the intersection of data quality, AI tooling, and structured reasoning, with a senior data engineering and BI consulting foundation that grounds every annotation, evaluation, or training example in the underlying domain logic rather than surface pattern matching. My recent work includes Microsoft Copilot adoption and integration inside Microsoft Consulting Group, LLM API integration across SaaS and financial services clients, on site deployment of ML based sentiment analysis in a Fortune 500 contact center, and Python automation work where the quality of the documentation and reasoning traces I produce has consistently been the difference between systems that ship and systems that stall in review. I treat training data work the way I treat production data engineering, with explicit edge case enumeration, clear assumption documentation, and reproducible reasoning that someone other than the original author can audit and trust. What sets me apart is the combination of formal training in Finance Administration, a Lean Six Sigma Green Belt that shapes how I decompose ambiguous problems, advanced SQL and Python depth, fluency across Spanish, English, and Portuguese, and a decade plus track record translating complex datasets into executive ready reasoning at Microsoft and across SaaS, financial services, agricultural technology, and education clients. I bring particular strength to finance and business modeling tasks, data quality and validation work, multilingual content review, and any annotation or evaluation task where the underlying reasoning must be clear, defensible, and auditable rather than impressionistic.
Bachelor's Degree in Finance Administration, Finance Administration, Computer Science
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Lead Full Stack & Data Engineer