15 years of experience in econometric research, applied statistics, business intelligence applications, text analytics, and other forms of applied machine learning. Experience in using a wide array of technology tools to design, develop, and deploy data driven decision support tools for federal, state, and commercial clients. For the past 10 years, Mr. Bird has been working with state and federal tax agencies building and deploying advanced analytics capabilities in support of various compliance domains. Most recently, he has led teams of data scientists using a suite of modern computing resources to develop and deploy advanced machine learning applications in the fight against identity theft, fraud detection, and other tax administration issues. Mr. Bird holds a Master of Arts degree in Applied Economic Analysis and a B.A. in Economics from Kent State University.