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Freelancer Overview

I am an enthusiastic AI engineering student with hands-on experience in machine learning and deep learning, particularly in working with both numerical and image datasets. My background includes developing end-to-end machine learning projects where I handled data preprocessing, feature extraction, and evaluation using tools such as Python, Pandas, NumPy, Scikit-learn, and TensorFlow. I have built and evaluated models for tasks like healthcare cost prediction and image classification on the Fashion-MNIST dataset, applying techniques like supervised and unsupervised learning, regression, and clustering. My skills in data annotation, preprocessing, and model evaluation are complemented by experience with data visualization (Matplotlib), version control (Git, GitHub), and prompt engineering for LLMs. I am eager to apply my knowledge to contribute to high-quality AI training data and annotation projects.

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