I work in research studies related to analytics, financial and health intelligence. This includes projects that integrate data sharing, synthetic data, data science and Machine Learning, (Deep Learning, Data Science, Data Sharing, Data Management, Reinforcement Learning and theories through Deep Reinforcement Learning Algorithms). This forms part of the Data Science for Social Impact movement by encouraging the engagement on local challenges as a catalyst for innovative solutions across all fields in Healthcare and analytics. By trade and profession, I am a medical biological scientist with more than ten years data science experience with big data related to institutional databases, data sharing, synthetic data generation, and data management. Over the past seven years, I have applied this in both Healthcare and industry. During this time I have won several awards for my work in Data Science, Data management and Healthcare including the Best Junior Researcher Award (from the Free State Department of Health for the creation of a novel laboratory test), Best institutional presentation (From the South African Association for Institutional Research for the Lydia Algorithm), Winner of the Medical Faculty forum for best laboratory paper (From the University of the Free State Medical Faculty Forum for HRMA optimization related to BRCA testing). During the COVID-19 outbreak in the Free State, I was seconded to assist the Free State Department of Health, National Department of Health, Centre for Disease Control, and World Health Organization in data science and surveillance support. This translated into a partnership with several organisations of which I am the strategic data lead for the projects. My experience and qualifications position me strategically to understand the depth of the analytics, architecture, context, data management and analysis related to data engineering in these domains for the African context.