Kemisola Kasali is a researcher and data analyst specializing in predictive analytics, workforce optimization, business, and people analytics. Her expertise includes statistical modeling, HR decision-making, and data-driven policy formulation. Her research interests encompass AI, XAI, machine learning, predictive modeling, workforce analytics, occupational safety, human resource management, and data visualization. She focuses on leveraging predictive analytics to enhance strategic HR planning, patient safety, business outcomes, organizational effectiveness, workforce optimization, and management. She has publications to her credit and has presented at conferences, sharing insights on predictive analytics and its applications in HR, healthcare, retail and business strategy among others. As a reviewer, she is committed to upholding the quality and impact of scholarly work in these fields.
Artificial Intelligence, Blockchain Technology, Business Administration, Data Science, Economics, Ethics, Healthcare Management, Information Technology, Logistics and Supply Chain Management, Machine Learning, Natural Language Processing, Occupational Health, Organizational Behavior, Public Health, Strategic Management