Candidate Status
Available
about
Applied Mathematics and Mathematical Epidemiology professional skilled in mathematical modeling, epidemiological analysis, and predictive machine learning. Proficient in Python, R, TensorFlow, PyTorch, and Scikit-learn, with experience in data visualization and optimization for epidemic prediction and vaccination strategy. Combines quantitative expertise with problem-solving skills to deliver actionable insights for public health and data-driven decision-making.
education
Cooperative Masters of Science in Mathematical Epidemiology
African Institute for Mathematical Sciences (AIMS) Cameroon
September 2025 - 2027
Master of Analysis in Applied Mathematics
University of Dschang, Cameroon
2023-2025
Bachelor of Science in Applied Mathematics
University of Maroua, Cameroon
2018-2022
Recent Experience
Manager of a Ceremonial Equipment Rental
Establishment Gassi, N'djamena, Tchad
Home Teaching
Foto, Dschang, Cameroon
skills
Python, JavaScript, R, Apache Spark, SQL, React, Pandas, Numpy, Matplotlib, Xarray, SciPy, Superbase, Scikit- learn, PyTorch, TensorFlow / Keras, English, French, Git / Github / GitLab, Google Cloud
Areas of Competence
Mathematical modeling, Mathematic optimization, Epidemiological modeling, Scientific computing, Machine Learning and AI Solution
contact details
Country
Chad
Depart Djekouada
