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Freelancer Overview

I am a Computer Science and Engineering student with hands-on experience in machine learning, data preprocessing, and building AI-driven solutions. My background includes developing a gold rate prediction model where I cleaned and annotated large datasets, implemented Random Forest Regression, and visualized data insights to enhance model accuracy. I am skilled in Python, data analysis, and using tools like Jupyter, Matplotlib, and Seaborn for data interpretation. My projects have strengthened my attention to detail, data quality, and understanding of the importance of accurate training data in AI development. I am eager to contribute my technical skills and passion for reliable data to impactful AI and data labeling roles.

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