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

Country

Chad

Depart Djekouada

Mathematical Epidemiologist

Mathematical Epidemiologist