Junior Data Labeller
Labeled and categorized text data for natural language processing (NLP) projects Performed sentiment analysis on customer reviews and social media content Annotated named entities in multilingual datasets (English, Swahili)
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I am a detail-oriented Data Annotation Specialist with over two years of hands-on experience preparing high-quality datasets for machine learning across computer vision, NLP, e-commerce, and medical domains. My expertise includes image classification, object detection, text classification, named entity recognition, sentiment analysis, and audio transcription, consistently achieving accuracy rates above 97% while meeting productivity targets. I am proficient in tools such as Labelbox, CVAT, Amazon SageMaker Ground Truth, and Scale AI, and have contributed to projects ranging from autonomous vehicle dataset annotation to multilingual text classification. My commitment to quality assurance, attention to detail, and collaborative approach have enabled me to train new team members, refine annotation guidelines, and deliver reliable training data that supports robust AI model development.
Labeled and categorized text data for natural language processing (NLP) projects Performed sentiment analysis on customer reviews and social media content Annotated named entities in multilingual datasets (English, Swahili)
Certificate, Data Analytics
Certificate, Machine Learning
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