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6th DS-I Africa Consortium Meeting

  • Roland Mfondoum

    Mr Roland Mfondoum - Travel Awardee

    Harnessing Data Science to Promote Equity in Injury and Surgery for Africa (D-SINE)

    PhD Candidate researching on Computationally efficient outlier detection methods in streaming data, Technical University of Sofia, Bulgaria Masters of Official Statistics and Quantitative Methods in Economics (2020), University of Economics Prague, Czech Republic Masters of Information Systems Management (2014), The University of Liverpool, United Kingdom Experienced statistician and data scientist with over 23 years of combined expertise in information systems, technology management, and data analytics. Proven track record of designing and implementing statistical models to support evidence-based decision-making in healthcare and organizational settings. Skilled in leading end-to-end data analytics projects-from conception to deployment-and in developing strategic roadmaps that integrate data-driven approaches into operational and policy frameworks. Proficient in both relational and non-relational database systems, with extensive experience building and deploying machine learning models, developing data products, and creating interactive dashboards using tools such as Power BI, R Shiny, Tableau, and Excel. Experienced in managing cloud-based infrastructure to support scalable data pipelines, encompassing data ingestion, processing, anonymization, analysis, and dissemination.