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Freelancer Overview

I am a data science graduate student with hands-on experience in machine learning, deep learning, and computer vision, focusing on creating high-quality datasets and developing robust AI models. My background includes building and augmenting datasets for projects such as food recognition and calorie estimation, automatic number plate recognition, and hand gesture detection, where I utilized tools like Python, TensorFlow, and OpenCV. I have worked with both structured and unstructured data, applying data preprocessing, annotation, and augmentation techniques to improve model performance. My experience also spans analyzing large transactional datasets and preparing data-driven reports during internships, as well as publishing research on DDoS attack detection and image classification using ensemble and transfer learning methods. I am skilled in Python, SQL, and cloud platforms, and am passionate about ensuring data quality and accuracy for AI training and deployment.

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