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Freelancer Overview

I am a data science and AI enthusiast with hands-on experience in machine learning, data preprocessing, and statistical analysis. My background includes working on projects involving business data management, inventory optimization, and gene perturbation modeling for obesity-related genetic medicine. I have a strong command of Python, SQL, scikit-learn, and data visualization tools such as Matplotlib, as well as experience with data annotation and preparation for ML workflows. My achievements include ranking in the Top 10 internationally in the CrunchDAO Obesity ML Competition, where I developed and refined models using real-world datasets. I am passionate about ensuring high-quality, well-labeled training data to drive accurate and reliable AI solutions.

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