Iyinoluwa Moyosola Oyelade

Iyinoluwa Oyelade is an academic and researcher specializing in Machine Learning, Data Science, and IoT applications, with a strong focus on sustainable solutions and innovative technologies. With extensive experience in developing AI-driven systems, Iyinoluwa leverages expertise in Python programming to create scalable, impactful solutions that address real-world challenges. A passionate advocate for technology-driven transformation, Iyinoluwa has worked on IoT-based farmland security and AI-powered animal intrusion detection systems, showcasing proficiency in integrating Python with cutting-edge tools such as TensorFlow, PyTorch, and scikit-learn. As a lecturer, she mentors the next generation of data scientists, emphasizing hands-on learning and fostering open collaboration. Having participated in pivotal discussions like the AfricaConnect Meeting on IoT-Based Acquisition of Research Data for Scientific Computing and the workshop on "Investing in Africa’s Climate Future," Iyinoluwa is committed to bridging data accessibility and sustainable development, particularly in underserved regions. Adept at deploying Python for data analysis, visualization, and machine learning, Iyinoluwa blends technical expertise with a deep understanding of global challenges. Enthusiastic about using Python as a tool for innovation, she continually seeks to empower communities and inspire collaborative solutions to pressing issues