Laboratory Technologist / Data & Quality Lead and Data Oversight (AI training data evaluation & statistical validation for clinical datasets)
Conducted statistical validation of laboratory and clinical test outputs to assess quality control metrics, accuracy, consistency, and anomalies for healthcare datasets used in digital workflows. Interpreted operational and clinical data to support reliable decision-making and ensure data integrity for downstream analytics and AI readiness. Collaborated with multidisciplinary teams to translate quantitative findings into standardized data collection and reporting practices for systems that require trustworthy training inputs. • Validated test accuracy and result consistency using statistical principles. • Assessed data suitability including integrity, bias, and representativeness for AI training datasets. • Built SOP-aligned data organization frameworks to improve reliability and completeness. • Maintained structured datasets suitable for downstream analytics and digital health applications.