Samuel Kolawole is a highly accomplished individual with a strong educational foundation and a wide range of specializations in the fields of mechanical engineering, engineering management, and data science. Samuel had notable success in his final year project, which centered on the optimization of a power plant, upon his graduation from Manchester Metropolitan University  with a degree in Mechanical Engineering. He maintained his dedication to academic superiority by obtaining a Master's degree in Engineering Management from Nottingham Trent University, and subsequently obtaining a second master's degree in data science and applied analytics from the University of Lincoln. During his tenure as a research assistant at the University of Lincoln, Samuel undertook a pioneering project titled "Developing Machine Learning Models for Fall Risk Prediction with Openpose: Utilizing video recordings of gaits." His specialization encompasses various facets of data science, including deep learning, machine learning, statistical analysis, statistical modelling, data engineering, data analysis and computer vision.GitHub: https://github.com/Tech-GuyyEmail: Kolawole1.samuel@gmail.com