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Emotion Recognition

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Freelancer Overview

I am new to formal AI training and data labeling roles, but I bring a strong analytical and quality-focused background that aligns well with training data workflows. With a First Class degree in Actuarial Science, I am highly skilled in pattern recognition, data validation, logical reasoning, and maintaining accuracy across structured and unstructured data. I am comfortable working with detailed guidelines, reviewing outputs for consistency, and handling repetitive tasks with precision and focus. My experience spans data analysis, research support, finance-related data handling, and customer-facing processes, which enables me to contribute effectively to labeling, categorization, content evaluation, and quality assurance tasks. I learn new tools quickly, work efficiently with large datasets, and apply critical thinking to ensure high-quality training data. These skills, combined with strong attention to detail and reliability, position me to add value to AI training projects across business, finance, and general data domains.

Labeling Experience

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Work History