Israel A. Bayode

Israel Ayodamola Bayode is a dedicated Ph.D. researcher in the Department of Applied Environmental Science and Engineering at Kyung Hee University, focusing primarily on the application of Artificial Intelligence (AI) to address global challenges within the energy sector. With a robust background in computational and mathematical skills, Bayode obtained both his Bachelor's and Master's degrees in Mathematics from the esteemed University of Ibadan in 2014 and 2018, respectively. His diverse professional experience encompasses project management, data analytics, data science, and DevOps engineering, showcasing versatility and proficiency across multiple technical domains. Driven by a profound passion for leveraging AI to address complexities in energy, environment, health, and finance, Bayode also maintains keen interests in cutting-edge technologies such as robotic process automation, blockchain technology, and clean energy. His commitment to advancing research and innovation is palpable through his academic journey and professional pursuits, establishing him as a valuable contributor to the fields of data science and artificial intelligence.

Publications

Multidimensional Perspective to Data Preprocessing for Model Cognition Verity: Data Preparation and Cleansing - Approaches for Model Optimal Feedback Validation
Multidimensional Perspective to Data Preprocessing for Model Cognition Verity: Data Preparation and Cleansing - Approaches for Model Optimal Feedback Validation
Simeon Okechukwu Ajakwe, Opeyemi Deji-Oloruntoba, Samuel O. Olatunbosun, Francis Xavier Duorinaah, Israel A. Bayode. © 2024. 43 pages.
Reliable data analysis depends on effective data preparation, especially since AI-driven business intelligence depends on unbiased and error-free data for decision-making....