Coursera
n/a, Data Analysis
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I bring over eight years of professional experience working with large datasets, quality assurance, data validation, and discrepancy resolution in highly accuracy-sensitive environments. In my current and previous roles within financial operations and treasury management, I regularly review high volumes of data, investigate inconsistencies, perform reconciliations, and ensure compliance with strict operational standards. This experience has developed the attention to detail, consistency, analytical thinking, and quality-control mindset required for data labeling and AI training data projects. In addition to my professional data-review experience, I have experience with image categorization, content moderation, and dataset quality review through independent projects and personal engagement. My strengths include following detailed guidelines, maintaining consistency across large datasets, identifying anomalies and edge cases, and delivering reliable results on repetitive, detail-oriented tasks. Combined with advanced proficiency in Excel, Google Sheets, data analysis, and reporting tools, I am well-equipped to contribute accurate, high-quality annotations that support the development of effective AI and machine learning models.
n/a, Data Analysis
Bachelor of Engineering, Engineering
Treasury & Payments Analyst – Data Quality & Reconciliation
Treasury & Payments Operations Officer