B.Sc
Degree not specified
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I have a strong foundation in data handling, analysis, and interpretation that translates naturally into AI training and data labeling environments. Through my training with Tech Buddies Africa and Cisco Networking Academy, I have developed hands-on experience cleaning, organizing, and visualizing datasets using Excel, Power BI, Tableau, and PostgreSQL; skills that are directly applicable to preparing and annotating data for machine learning pipelines. My sociological background further sharpens my ability to identify patterns, assess data quality, and apply contextual judgment when categorizing nuanced information. Beyond technical skills, I bring the discipline and attention to detail that data labeling demands, demonstrated through my volunteer HR coordination role at Skills Online Africa and my research fieldwork as a Rivers State Delegate for the Renbi Women Empowerment Initiative. In both roles, I managed documentation, applied structured criteria to assessments, and ensured accuracy in reporting; qualities that are equally critical in maintaining consistency and reliability across AI training datasets.
Degree not specified
I recently completed data labeling tasks as a freelance contributor on Remotasks, where I annotated and classified datas