Dr. Elysee Nsengiyumva, PhD, is a Data Scientist, Actuarial Scientist, and academic with
extensive experience in higher education, research, and applied data analytics. He holds a Doctor
of Philosophy (PhD) in Data Science with specialization in Actuarial Sciences, in addition to a
Master of Science in Data Science with specialization in Actuarial Sciences and a Bachelor of
Science (Honors) in Mathematics.
Dr. Nsengiyumva is currently affiliated with the School of Computing and Information
Technology at the University of Kigali, where he has held senior academic and research
leadership responsibilities, including serving as Director of Research. He has also lectured at the
University of Rwanda and INES-Ruhengeri, delivering a wide range of undergraduate and
postgraduate courses in Data Science, Actuarial Sciences, Statistics, Econometrics, Business
Mathematics, Linear Algebra, Calculus, Probability and Statistics, Operations Research, and
Mathematical Economics. He has supervised numerous undergraduate and master’s research
projects across mathematics, computing, and data science disciplines.
His research interests encompass data science, machine learning, artificial intelligence, actuarial
science, econometrics, risk management, insurance, deep learning, and decision science. Dr.
Nsengiyumva has authored multiple peer-reviewed publications in reputable international
journals, including Cogent Economics & Finance and FinTech, with a strong focus on foreign
exchange risk modeling, volatility forecasting, and hybrid econometric–deep learning
methodologies.
Beyond academia, Dr. Nsengiyumva has substantial industry and consultancy experience. He has
worked as a Data Analyst at the University of Rwanda’s Single Project Implementation Unit and
has served as a consultant for financial institutions, including COGEBANK. He is also an
officially recognized University Accreditation Expert with the Higher Education Council (HEC)
of Rwanda, contributing to national-level quality assurance, academic program accreditation, and
institutional reviews.
Dr. Nsengiyumva has participated in numerous professional trainings, workshops, and
certification programs in data science, machine learning, cybersecurity, cloud computing, big
data analytics, and actuarial applications. He is proficient in Python and R, fluent in English,
French, and Kinyarwanda. Alongside his academic and professional achievements, he remains
actively engaged in community service and collaborative research initiatives.