Infotech
Mail classifications of heart disease patients records
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I am passionate about machine learning and AI, with hands-on experience in data preprocessing, annotation, and model training across computer vision and NLP projects. My internships allowed me to work on real-world datasets, including developing a sentiment analysis model for tweet classification and building a facial recognition attendance system with OpenCV and Python. I have also labeled image data for drowsiness detection using YOLOv5 and created custom datasets for training and evaluation. My skills include Python, Pandas, scikit-learn, deep learning frameworks, and data handling techniques, and I am adept at preparing, cleaning, and organizing data to support high-quality AI model development. I am eager to contribute my knowledge and attention to detail to data labeling and AI training data roles.
Mail classifications of heart disease patients records
Bachelor of Technology, Computer Science and Artificial Intelligence
Senior Secondary, Computer Science
Machine Learning Intern
AI/ML Intern