University of Agriculture, Makurdi
Bachelor of Science, Computer Science
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Based on my background in computer science and my strong experience in digital marketing and performance advertising, my profile aligns well with data labeling and AI training data workflows, particularly in areas involving structured data annotation, categorization, and quality-driven dataset preparation. Through managing large-scale advertising campaigns on platforms like Facebook, Instagram, and Google Ads, I have consistently worked with audience segmentation, behavioral tagging, conversion tracking, and performance datasets—activities that closely mirror the logic used in labeling and structuring data for machine learning models. My strengths lie in analytical thinking, pattern recognition, and data interpretation, supported by hands-on use of analytics tools, CRM systems, and campaign reporting dashboards. I also demonstrate strong attention to detail, which is critical in ensuring high-quality labeled datasets for AI training processes. Combined with my technical foundation in computer science, this positions me as a strong fit for AI data operations roles such as data labeling, data validation, annotation QA, and training data management.
Bachelor of Science, Computer Science
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