Data Annotation & Evaluation (Academic & Independent)
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I participated in structured data collection and cleaning for academic and independent data analysis projects. My work focused on data accuracy, organization, and quality assurance specifically relevant to AI training environments. Tasks included data evaluation, preprocessing, and handling repetitive annotation workloads with strong attention to detail.
• Structured and organized data to facilitate reliable data labeling workflows.
• Cleaned and preprocessed textual datasets for improved annotation quality.
• Evaluated data consistency using comparative analysis methods.
• Developed quality assurance checks for data accuracy in AI training tasks.
I participated in structured data collection and cleaning for academic and independent data analysis projects. My work focused on data accuracy, organization, and quality assurance specifically relevant to AI training environments. Tasks included data evaluation, preprocessing, and handling repetitive annotation workloads with strong attention to detail. • Structured and organized data to facilitate reliable data labeling workflows. • Cleaned and preprocessed textual datasets for improved annotation quality. • Evaluated data consistency using comparative analysis methods. • Developed quality assurance checks for data accuracy in AI training tasks.
2022 - Present