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Data Annotation & AI Data Analyst
Soul AI
May 2025 - Dec 2025
Collected, cleaned, and validated large structured and unstructured datasets (text, image, audio, video) used for ML model training, maintaining high data integrity and quality standards. Monitored data quality by identifying and resolving inconsistencies, missing values, and annotation errors; maintained detailed reports on data quality metrics and annotation accuracy. Performed statistical analysis and data manipulation to validate dataset distributions and ensure annotation consistency across diverse data formats. Translated technical data quality requirements into actionable validation processes, supporting AI model development and improving pipeline efficiency.
Education
Bachelor’s, Computer Science & Engineering (AI/ML) - Shivaji University
2021 - 2025 · Afghanistan
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