Principal, Data, Analytics, And Ai
CurrentLeader of KPMG's Data & Decision Science team, which helps clients solve business challenges through AI, Analytics, and Automation. US leader for the KPMG Insights Centers.Current focus areas include:Intelligent Forecasting – Led the design and roll-out of an advanced forecasting capability that leverages hundred of data sets along with advanced machine learning techniques, in order to more accurately predict revenue or other financial or operational metrics for large enterprises.Decision Intelligence (Resource & Asset Optimization) – Delivered several projects that combine operations research capabilities and simulation techniques with large-scale computing power to determine the best solution or decision out of millions of possible options. Examples include improving the schedule completion time of a major telco construction project, optimizing the revenue of one of the world’s largest convection centers through better usage of space, and generation of improved schedules for sports leagues, police departments, and other work forces.Predictive Analytics - Led multiple projects built on the foundation of KPMG’s Signals Repository; these solutions generate signals through a combination of external data and client data, which are fed into machine learning algorithms to predict future outcomes.Cognitive Contract Management – Developed AI systems that ingest structured and unstructured data and text from raw contract files in order to derive meaning and classify results for purposes of identifying value leakage, managing risk, realizing contract terms, and maximizing supplier value.Data & Analytics Strategy and Design – Served as Operations Lead for KPMG’s D&A Center of Excellence. Included oversight for all aspects of building and delivery of a new D&A practice, including planning, budgeting, staff management, training, reporting, marketing, integration, and working closely with leadership on development and execution of the overall D&A strategy.
