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Freelancer Overview

I am a data scientist with hands-on experience in AI evaluation, data annotation, and quality assurance for machine learning training datasets. My background includes validating AI-generated outputs for logical consistency, factual accuracy, and adherence to strict guidelines. I am skilled in Python for data analysis, simulations, and validation scripts, and have applied structured reasoning and deterministic logic to ensure high-quality, reproducible results. My work has spanned computational modeling, data entry, and quality control, with a strong focus on error detection and data normalization. I have contributed to projects such as customer churn prediction in the telecom domain, emphasizing data validation and interpretability. I am passionate about maintaining data integrity and supporting the development of reliable AI systems through meticulous annotation and review.

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