AI Data & Intelligent Systems Support Professional
Supported analytics and intelligent automation by preparing, reviewing, and validating datasets for AI and machine learning workflows. Ensured accuracy, completeness, and consistency in structured and unstructured labeled data crucial for healthcare analytics. Performed categorization, tagging, comparative output evaluation, and guideline compliance checks. • Conducted quality assurance and labeling audits for data used in AI models. • Reviewed and validated datasets to identify inconsistencies or bias. • Adapted data labeling workflows to evolving project requirements. • Maintained data security and confidentiality throughout the labeling process.