This technical session explores the transformative role of data science and advanced analytics in reservoir engineering. With the growing complexity of reservoir management, the integration of machine learning, predictive modeling, and big data analytics is reshaping how engineers analyze reservoir behavior, optimize production, and improve decision-making. Presentations will cover case studies, novel algorithms, real-time data applications, uncertainty quantification, and AI-driven workflows designed to enhance reservoir characterization, forecasting, and performance evaluation. Join us to discover innovative approaches that bridge the gap between traditional reservoir engineering and the rapidly evolving world of data-driven solutions.