
Dynamic Actuarial Science graduate and MSc. Statistics candidate at Montana State University, with exemplary oral and written communication skills, dynamic problem-solving capabilities, content development, and impactful contributions to risk management. Proficient in R-Studio, LaTeX, and Python, and skilled in machine learning. Experienced in data analysis, financial modeling, and collaborative projects with notable organizations such as Actex Learning and Allianz-Ghana. Eager to learn and explore new research possibilities.
Microsoft Excel and Excel VBA (Advance)
Analysis and Prediction of Breast Cancer Using Machine Learning Algorithms,
Academic Mentorship Program, Department of Statistics and Actuarial Science, KNUST, 09/2019, 09/2022,
International Association of Black Actuaries (IABA), 08/2023, Present
Black in AI, 11/2023, Present