Intelligent Data Systems Support Specialist — Sandia National Laboratories
Supported dataset preparation, review, and validation for intelligent systems and analytical models using guideline-based evaluation. Performed categorization, tagging, and quantitative assessment of system-generated outputs to improve reliability. Identified anomalies, inconsistencies, and potential bias patterns while ensuring secure, confidential, and well-documented processing. • Validated labeled data for completeness, accuracy, and consistency • Conducted comparative evaluations of system-generated outputs • Applied logical and statistical reasoning for dataset reliability • Maintained compliance with security and documentation requirements