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VM@vincentmwangi
Results-driven data labeling specialist with machine learning experience.
KenyaI am a dedicated data labeling specialist with hands-on experience in CVAT annotation and QA validation for machine learning projects. My journey in this field has allowed me to develop a keen eye for detail and a strong commitment to quality. I have successfully annotated over 10,000 text samples for sentiment analysis and conducted audits that identified and corrected 15% of labeling errors, ensuring high accuracy in data preparation.
My educational background in Electrical Engineering from Kenyatta University has equipped me with a solid foundation in machine learning fundamentals, data structures, and signal processing. I thrive in collaborative environments and am passionate about leveraging my skills to contribute to innovative projects that harness the power of machine learning.
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Work history, roles, and key accomplishments
Coffee Garden Drive
Feb 2025 - May 2025 (3 months)
Annotated over 500 images daily using CVAT for object detection tasks. Conducted thorough audits, identifying and correcting 15% of labelling errors to ensure data accuracy.
Kenyatta University
May 2024 - Sep 2024 (4 months)
Annotated more than 10,000 text samples for sentiment analysis, contributing to improved model performance. Validated labels using comprehensive QA checklists, consistently achieving a 95% inter-annotator agreement.
Degrees, certifications, and relevant coursework
KUBachelor of Electrical Engineering, Electrical Engineering
Pursued a bachelor's in Electrical Engineering. Relevant coursework included machine learning fundamentals, data structures, and signal processing.
Software and tools used professionally
KenyaYou can contact Vincent and 90k+ other talented remote workers on Himalayas.
Message Vincent
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