Freelance AI Data Analyst - Outlier AI
Querying large-scale databases and performance logs to validate AI outputs with a strong focus on accuracy and reliability. Applying machine learning metrics and statistical methods to assess model performance and robustness. Performing high-precision analysis and quality checks while identifying subtle issues such as bias and hallucinations that could affect downstream decisions. • Validated AI outputs using large-scale logs and database queries. • Evaluated model reliability with accuracy, precision/recall, and statistical testing. • Conducted error detection, consistency checks, and prompt refinement. • Assessed ethical risks including bias and hallucinations and recommended mitigations.