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VideoI am an MSc Data Science graduate with hands-on experience in data annotation, labeling, and quality analysis for machine learning and NLP projects. My background includes evaluating AI model outputs for accuracy, consistency, and relevance, as well as applying structured guidelines to improve dataset quality. I have worked extensively on projects involving sentiment analysis of movie reviews, audio data labeling for sleep apnea detection, and image annotation for breed classification using CNNs. My technical skills include Python, SQL, and R, along with tools like Pandas, NumPy, and Scikit-learn. I am detail-oriented, skilled in prompt-response analysis, and passionate about ensuring high-quality datasets for AI model training and evaluation.
Data annotation and labelling is done on the tasks given daily where checking if the result given by AI meets the quality required
Master of Science, Data Science
Bachelor of Science, Computer Science, Mathematics, Electronics
Fresher
