Obinna has a strong statistical background and proficiency in Python programming. With four years of experience in the energy sector as a Field Service Engineer and a background in chemical engineering, Obinna has a unique set of skills that he applies to his work in the field of Data Science.
He is currently pursuing a master’s degree in Big Data and Data Science at Northumbria University in London, with a particular interest in Machine Learning and its application in early cancer detection and improving AI use in global healthcare service delivery.
Obinna is an ardent Data Science enthusiast who has contributed to the development of value-added data analysis techniques using SPSS, SQL, and Python. He has a passion for enhancing his feature engineering and model deployment skills.
He is pursuing an HDR UK summer internship to further his knowledge in the field of AI and its role in shaping global health delivery.