Back Back to Profiles

Mr. Elysee Nsengiyumva

Assistant Lecturer, School of Computing and Information Technology

Elysee Nsengiyumva is currently pursuing a PhD in Data Science at the African Centre of Excellence in Data Science. He holds a Master’s degree in Data Science with a specialization in Actuarial Sciences and a Bachelor’s degree with Honors in Mathematics. Elysee serves as an Assistant Lecturer in the School of Computing and Information Technology at the University of Kigali, where he has made significant contributions to teaching and research.

Beyond his formal education, Elysee has completed several professional short courses and is recognized as an Expert by the Higher Education Council (HEC). He has industry experience as a Data Analyst at UR-SPIU and has taught a wide range of subjects, including Calculus, Foundations of Mathematics, Probability and Statistics, Operations Research, and Discrete Mathematics. His research interests encompass Business Analytics, Artificial Intelligence, Statistics, Machine Learning, Mathematics, Actuarial Sciences, and Data Science.

Elysee has supervised more than 100 undergraduate research projects and authored over three publications in reputable academic journals. He is an active member of the Actuarial Science Association in Rwanda and has participated in numerous workshops and academic events, particularly in data analytics, grant writing, and program reviews. His certifications include qualifications in Data Science, Machine Learning, Data Visualization, and Advanced Cyber Security. Elysee is proficient in programming languages such as Python and R.

In addition to his academic and professional achievements, Elysee excels in managerial roles and thrives in collaborative team environments. He consistently demonstrates the ability to work under pressure and meet tight deadlines effectively.

  1. Neural Networks and ARMA-GARCH Models for Foreign Exchange Risk Measurement and Assessment (Scopus-indexed): https://doi.org/10.1080/23322039.2024.2423258
  2. The Influence of Social Media on Academic Performance of Students in the University of Kigali: https://ijsscfrtjournal.isrra.org/index.php/Social_Science_Journal/article/view/1342
  3. Estimating Value at Risk (VaR) and Expected Shortfall (ES) of Market Returns Using ARMA and GARCH Models: A Case Study of Rwanda Forex Market: https://dr.ur.ac.rw/