Pooja G.

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Freelancer Overview

With a solid background as a PhD student in Mathematics (Algebra), I bring strong analytical reasoning, precision, and attention to detail to AI data labeling and training tasks. My research experience spanning module theory, algebraic structures, and coding theory over rings, has strengthened my ability to understand complex patterns, maintain logical consistency, and handle highly technical information with accuracy. I have extensive experience in reading, interpreting, and restructuring dense mathematical and technical text, which translates directly into producing high-quality, structured, and error-free training data. In addition, I have worked on thesis writing, academic editing, and rephrasing complex content for clarity and correctness, demonstrating strong skills in text annotation, data categorization, quality evaluation, and pattern identification. My background in teaching, problem-solving, and preparing detailed explanations further helps in creating user-intent–aligned datasets. These qualifications make me well-suited for LLM training data tasks, mathematical data labeling, content evaluation, and instruction-based dataset creation, ensuring accuracy, consistency, and domain-specific depth.

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