Integrates economic theory with analytics tools to evaluate pricing performance and optimize revenue and profit outcomes. Key topics include dynamic pricing models, revenue management systems, behavioral economics and pricing psychology, and ethical considerations in algorithmic pricing. Applies statistical software and machine learning techniques to real-world pricing challenges in industries such as technology, hospitality, retail, and subscription services. Emphasizes developing analytical frameworks that support strategic pricing decisions while balancing profitability objectives with market positioning and customer value creation.