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I have hands-on experience in data labeling, contributing to the development and improvement of AI and machine learning models. My work has involved accurately annotating datasets such as text, images, audio, and video to help train algorithms for better performance and reliability. I am skilled in tasks such as data classification, tagging, segmentation, transcription, and sentiment analysis. I pay close attention to detail, ensuring consistency and high-quality annotations that align with project guidelines. I have also worked with annotation tools and platforms, maintaining efficiency while meeting deadlines. Through this experience, I have developed a strong understanding of how labeled data directly impacts model accuracy. I am comfortable reviewing and correcting datasets, identifying errors, and improving data quality to support AI training processes.
The project is based on annotating object size to ensure accurate size required adhering to the set measurements
Bachelors of commerce Finance option, EGERTON UNIVERSITY
Assistant Accountant
