Researcher and Data Scientist with a PhD in Applied Mathematics and extensive experience applying statistical modeling, machine learning, and survival analysis to large-scale health data across sub-Saharan Africa and South Asia. Proven ability to translate complex datasets into actionable insights for decision-making, with specialized expertise in Health and Demographic Surveillance Systems (HDSS) spanning multiple African countries including South Africa, Mozambique,Ghana, Tanzania, kenya, Uganda and Zambia. Strong track record in capacity building and stakeholder engagement, with demonstrated success training multidisciplinary teams including health officials and community health workers on data analysis and interpretation. Experienced in managing international research collaborations and conducting independent fieldwork across diverse African urban and peri-urban contexts. Published researcher with impactful work on health inequalities and mortality patterns in leading international journals.
Technical proficiency in R, Python, C, and C++, with excellent communication and presentation skills for engaging diverse audiences from technical teams to policy stakeholders. Fluent in English and French, with working knowledge of Swahili, Kirundi, and Kinyarwanda. Proven ability to work independently under pressure while managing multiple complex research projects simultaneously.
Project management: Including conception of projects
Programming: C/C, LaTeX
Software: R, Python, Mathematica, Stata
Predictive modeling: Multilevel modelling, Latent variable modelling, Longitudinal analyses
Machine learning: Supervise Machine Learning, Unsupervised Machine Learning
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