Data Quality Analyst for AI Training Data Evaluation
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Evaluated system outputs and datasets to identify inconsistencies, errors, and performance issues as part of structured data quality review. Conducted detailed inspections of text and tabular data generated by AI-driven reporting for anomaly and error detection. Leveraged Python and MySQL to execute validation, correction, and verification of model responses in a financial trading system environment.
• Performed structured analysis of text-based outputs from proprietary financial software.
• Rated and reviewed model-generated datasets for accuracy and integrity.
• Collaborated with QA and engineering to escalate significant inconsistencies.
• Utilized Python and SQL to automate parts of the evaluation process.
Evaluated system outputs and datasets to identify inconsistencies, errors, and performance issues as part of structured data quality review. Conducted detailed inspections of text and tabular data generated by AI-driven reporting for anomaly and error detection. Leveraged Python and MySQL to execute validation, correction, and verification of model responses in a financial trading system environment. • Performed structured analysis of text-based outputs from proprietary financial software. • Rated and reviewed model-generated datasets for accuracy and integrity. • Collaborated with QA and engineering to escalate significant inconsistencies. • Utilized Python and SQL to automate parts of the evaluation process.
2022 - 2025