Candidate Status
Available
about
Statistician and Data Scientist with expertise in data collection, analysis, and visualization across research and field-based projects. Experienced in designing and managing surveys using modern tools such as KoboCollect, ODK, and CSPro to ensure high-quality, reliable data. Proficient in R and Python, applying statistical modelling and AI-driven approaches to generate actionable insights and solve real-world challenges.
education
Cooperative Masters of Science in Data Science
African Institute for Mathematical Sciences (AIMS) Cameroon
September 2025 - 2027
Master 1 in Probability, Statistics and Modelling
University of Burundi, Institute of Applied Statistics
2023- 2025
Bachelor of Science in Statistics
University of Burundi, Institute of Applied Statistics
2020- 2023
Most Recent Experience
National Survey on Nutrition and Mortality (ENSNMB 2023)
Burundi, National Institute of Statistics
January -February 2024
Multi-Antigen Vaccination Coverage Survey
Médecins Sans Frontières (MSF)
August 2024
skills
Python, JavaScript, C / C++, R, Stata, SPSS, MongoDB, SQL, NoSQL Query Languages, React, Numpy, Tidyverse, Matplotlib, Scikit- learn, XGBoost, PyTorch, TensorFlow / Keras, NumPyro, English, French, Git / Github / GitLab, REST APIs
Areas of Competence
Data Cleaning, Computer Vision, Data engineering, Statistical inference, Communication, Neural networks
contact details
Country
Burundi
Sun Peace Joselyne Ahishakiye
