Social Science &Data Quality|M&E| Research Support
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I am a passionate and detail-oriented professional with a strong foundation in Anthropology and Sociology, holding both a Bachelor’s and Honours degree from the University of Limpopo. My academic journey is complemented by specialized certifications in Monitoring and Evaluation (M&E), Data Quality, Information Technology, Applied Data Science, and Good Clinical Practice (GCP).
With hands-on experience in data capturing, quality assurance, and M&E processes, I am committed to using data-driven approaches to support impactful social and public health research. I thrive in collaborative environments, value continuous learning, and bring a deep understanding of community dynamics, research ethics, and evidence-based decision-making.
I am a dedicated and results-driven professional with a background in [Sociology, Anthropology, or Data Management]. I hold a bachelor’s degree in Anthropology and Sociology and an Honours degree in Sociology from the University of Limpopo. Over the years, I have gained valuable experience in data capturing, monitoring and evaluation (M&E), and data quality assurance, particularly in research and community-based projects.
My professional experience includes working with research teams to ensure accurate data collection and reporting, training site staff on data protocols, and analysing data for program improvement. I am also certified in Information Technology, Applied Data Science, Good Clinical Practice, and Data Analysis with Python, which strengthens my ability to work effectively in both qualitative and quantitative research environments.
I am passionate about using data and social science to drive meaningful change, particularly in public health and community development contexts.
I hold a Bachelor’s degree in Anthropology and Sociology and an Honours degree in Sociology from the University of Limpopo. To complement my academic background, I have obtained additional certifications in Monitoring and Evaluation (M&E), Information Technology, Data Quality, Applied Data Science, Data Analysis with Python, and Good Clinical Practice (GCP). This combination of formal education and practical training has equipped me with strong analytical, research, and data management skills applicable to both social science and health research settings.