Ethel Agubama Akanzire

I am a Clinical Nutrition and Dietetics graduate with a strong foundation in research, analytical thinking, and evidence-based evaluation. My academic training required interpreting scientific data, conducting structured assessments, and applying systematic reasoning to solve complex problems. Over time, I expanded into data intelligence and AI-related work, where I apply analytical skills in technology-driven environments.

I currently work in data intelligence, supporting research, dataset analysis, and insight generation for clients. My role involves reviewing structured and unstructured data, identifying patterns, ensuring consistency, and maintaining strict quality control standards. I have experience working with survey data, annotation tasks, data validation, and guideline-based evaluation processes. These responsibilities require accuracy, neutrality, and attention to detail especially in AI training contexts where data quality directly impacts model performance.

In addition, I have exposure to AI systems through data annotation, content review, and evaluation tasks that require assessing outputs for relevance, bias, and coherence. I am comfortable following complex instructions, applying labeling frameworks, and maintaining consistency across large datasets. My background in both health sciences and analytics allows me to approach data from a logical, structured, and evidence-driven perspective.

Beyond technical capabilities, I bring strong organizational and communication skills. I have coordinated digital content for a tech education initiative, which strengthened my ability to manage workflows, meet deadlines, and adapt quickly to evolving project requirements. I am self-motivated, disciplined, and comfortable working independently while maintaining high productivity standards.