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@victormuthamamusau
Seasoned data scientist and statistical modeller driving data-driven solutions for research and development.
I am a seasoned data scientist and statistician with a Ph.D., over five years of applied experience in statistical modelling, machine learning, and data management across R&D and academia. I have led data operations for crop-breeding programs, developed automated R analysis pipelines and R Shiny dashboards, and managed mobile-based imaging initiatives to train AI phenotyping models.
I excel at workflow optimization, training development, and cross-functional coordination, having lectured at multiple universities and provided consultancy to organizations including WHO and CGIAR partners. My work blends research rigour with practical implementation to deliver actionable insights that bridge science, policy, and development.
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Work history, roles, and key accomplishments
Jun 2023 - Present (2 years 5 months)
Manage plant-breeding data operations and lead digitization and software adoption initiatives, delivering automated R pipelines and R Shiny dashboards that improved breeding data workflows and supported regional breeding networks.
Kirinyaga University
Feb 2021 - Jun 2023 (2 years 4 months)
Taught undergraduate and master's courses, supervised student research, coordinated examinations, and contributed to curriculum development and research grant activities.
Kenyatta University
Sep 2022 - May 2023 (8 months)
Delivered lectures and tutorials, prepared assessments and supplementary materials, and graded programming and theoretical assignments for undergraduate courses.
Jomo Kenyatta University of Agriculture and Technology
Jan 2016 - Dec 2016 (11 months)
Facilitated tutorials and discussion sections, prepared answer keys and assignments, and supervised undergraduate research projects in statistical and actuarial subjects.
Degrees, certifications, and relevant coursework
Doctor of Philosophy, Statistical Sciences
2017 - 2021
Ph.D. in Statistical Sciences focused on statistical modelling, clustering, predictive analysis and quantile regression; thesis on model-based clustering using quantile regression.
Master of Science, Applied Statistics
2013 - 2015
Master of Science in Applied Statistics with thesis comparing generalized least squares and robust covariance matrix estimation for panel data.
Bachelor of Science, Actuarial Science
2010 - 2013
Grade: Second Class Honors – Upper Division
Bachelor of Science in Actuarial Science, graduated with Second Class Honors – Upper Division.
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