JOSEPH NIAKOH

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.

• Exam FM, Passed, 06/2023
• Exam P, Passed, 01/2022
• Exam SRM, Written, 01/09/2024

Analysis and Prediction of Breast Cancer Using Machine Learning Algorithms, 

• Employed supervised and unsupervised machine learning algorithms to predict breast cancer's benign or malignant nature.

• Sports Committee Head, Actuarial Science Students Association (ASSA), 01/2022, 09/2022, Promoted physical well-being and camaraderie among students.
• Research Team Leader, Department of Statistics and Actuarial Science, KNUST, 01/2022, 09/2022, Organized and delegated research tasks, and ensured adherence to research timelines and objectives.

• Corporate Finance Institute, Data Science and Machine Learning Fundamentals, 07/2022, 08/2022,
• Statistics Fundamentals, 12/2022, 01/2023
• The State University of New York (Coursera), Practical Time Series Analysis, 09/2022, 11/2022
• John Hopkins University (Coursera), Practical Machine Learning, 12/2022, 02/2023
• Stanford Online (Coursera), Supervised Machine Learning Algorithm: Regression and Classification, 12/2022, 01/2023

Academic Mentorship Program, Department of Statistics and Actuarial Science, KNUST, 09/2019, 09/2022,

• Significant improvement in the academic performance of my 10 mentees.

International Association of Black Actuaries (IABA), 08/2023, Present

Black in AI, 11/2023, Present