Bharath Gaddam founded DATA POEM to solve what he recognized as marketing's most fundamental challenge: the inability to make unified, causal revenue decisions across all growth drivers simultaneously. Under his leadership, DATA POEM developed POEM365, the world's first Large Causal Foundation Model, trained on $5 trillion in transaction data across 15,000 brands spanning CPG, automotive, financial services, retail, and lifestyle industries. Prior to founding DATA POEM, Bharath led analytics transformation initiatives for Fortune 500 companies including Omnicom and major multinational brands, where he witnessed firsthand how correlation-based measurement frameworks limited strategic decision-making. His work focuses on advancing causal AI applications in marketing, moving the industry from attribution debates to unified revenue intelligence. Bharath holds expertise in causal inference, machine learning at scale, and enterprise decision intelligence platforms.