Work with data scientists and data engineers to integrate best practices gleaned from team-side modeling experience with modern machine learning techniques from the software world.

Charter member / head of internal consulting group tasked with providing data analytics, data science, data wrangling/integration, and statistical modeling services and support to Kroenke-owned sports teams (Los Angeles Rams, Denver Nuggets, Colorado Avalanche, Colorado Rapids). Supervised and mentored analysts and developers.Manage analytics deliverables and provided guidance and direction for analysis across team of seven people, supporting all four teams. Helped Rams to a Super Bowl appearance and consecutive division titles for the first time since 1979. Helped Nuggets in 2019 achieve their second-best record in their NBA history. Helped Avalanche reach the playoffs in consecutive playoffs appearances for the first time since 2006.Provide personnel (amateur and pro) and team modeling, data infrastructure and development, and strategic consulting. Used a variety of traditional regressions and machine learning algorithms and AI techniques for modeling. Work directly with executives, front office staff, coaches and ownership. Write memos/reports to communicate analytical results and propose strategic applications. Present results to management.Managed project to move our analytics architecture from internally hosted systems to cloud-hosted at AWS, allowing teams to begin to make better use of their new spatio-temporal player tracking data (sport’s version of Big Data). Work with vendors to develop and improve their data offerings to provide our teams with better data going forward.

Charter member of the Football Analytics Department. Tasked with making the Ravens the best analytics organization in pro football. Grew group from zero to four staffers. Helped team win Super Bowl in January 2013. Developed predictive and explanatory models, including both machine learning algorithms, traditional regressions, and simulations. Brought the power of data-driven insight to the Ravens personnel and coaching departments through integration into their most-used software tools. Directed creation of self-service business intelligence tools to assist and inform decision makers like the GM, Asst. GM, Head Coach and scouting directors. Created best-in-class data warehouse for meaningful access to all football data, including integrating custom tagging of offensive formations and defensive fronts (using Ravens’ verbiage for both sides of the ball) into the coaches' video system (XOS).

Working with Sportsmetricians Consulting, I constructed a best-in-class analysis database for extracting the most information from play-by-play NBA data. Among the projects to which I applied this data, I worked with Prof. John Huizinga at the University of Chicago Booth School of Business to show that NBA star players think that they are hot (more likely to make their next shot) than they think that they are. I was also one of the first people to work with the SportVU player tracking data.

As Senior Energy Analyst, I performed energy risk and financial modeling and software implementation activities for utilities and investment banks. I worked with clients and developers to support client needs around the company’s simulation engine for valuing utility assets. I also served as product manager for software which builds arbitrage-free forward curves based on client’s customizable business rules. I provided analytics-based insight into the management of energy supply and trading portfolios, involving significant technical challenges implementing, advancing, innovating, and operating a risk-based portfolio management system for energy companies.

Data Manager, Vendor Relationship Manager, Client Solutions Specialist, Project ManagerCharter member of the Data Management Team, responsible for managing hundreds of data feeds for firm specializing in customized delivery solutions for dynamic financial data. Designed and built tools to allow team to efficiently manage data definitions, data availability, vendor entitlements and content mapping across all clients and vendors.

Grew Janus Capital Group into the firm’s largest non-brokerage client, with annual recurring revenue over $600K. Led twenty-person team building products to support the sales efforts for sixteen regional offices in eight languages

Fielded inquiry for trading credit derivatives products. Coordinated unwind of a principal-protected high-yield note trust. Identified optimal exercises for Bermuda swaption portfolio. Constructed tracking system for portfolio of revolving loans.

Consulting services in applied statistics, mathematics, and econometrics to Fortune 100 companies and government agencies. Worked in SAS and SQL to developed demographic index to summarize driver risk factors for motor vehicle liability litigation. Modeled fuel system integrity. Analyzed thousands of product liability damage claims to model future expected liability exposure. Explained results to counsel and clients. Designed trial graphics and assembled trial testimony.