Business operations leader with a talent for identifying optimization opportunities in tech/digital enterprises of varying sizes. Specialized in applying data science and data enabled approaches to accelerate performance and achieve business growth. Superb ability in managing and motivating multiple stakeholders including clients, partners, and staff in complex, matrixed environments. Predictive Data Insights  Process Optimization  Workflow Design Data-Focused Forecasting  Business Intelligence  Complex Program Management Digital / AI Transformation  Machine Learning  Simulation ModelingAchievement Highlights Saved $8M for Meta from inception to date by optimizing AI data center inventory management. This was accomplished by building a workflow within procurement that leveraged existing inventory from the existing network of 20+ sites.  Increased 10% in film title release accuracy for Universal Home Entertainment (digital and physical) through machine learning and simulation models trained on historical sales data. Improvements saved hundreds of thousands annually through improved distribution and averted costs in marketing.  Utilized complex data modeling to improve digital rights management effectiveness by 30% for Universal Pictures. Successfully identified problem areas with measuring financial losses, agent KPIs and ways to increase legitimate content consumption. Architected and overhauled outdated forecasting system for Sony Music streaming that demonstrated a ~30% increased accuracy in forecasting through proof of concept.