Ozisiaka Arthur

I am a detail-oriented data annotator experienced in labeling image, text, video, audio, and 3D datasets to improve machine learning and NLP model performance. I consistently apply complex annotation guidelines using tools like Labelbox, CVAT, Supervisely, VIA, and Scale AI to deliver high-quality, privacy-conscious datasets.

My background includes roles as a Data Annotator at Appen and a Data Analyst on Upwork, where I automated reporting, built dashboards, and delivered insights that reduced analysis time and improved retention. I adapt quickly to new, client-specific tools and workflows, and I collaborate closely with QA leads to validate and correct data through audit panels and QA dashboards.

I hold a BSc in Chemical Engineering and certifications including Cisco Ethical Hacking and IBM Machine Learning Professional Certificate. I am committed to maintaining high accuracy, efficient workflows, and strong data integrity to help teams accelerate model training and deployment.