Designed and built an analytics center of excellence that partnered directly with the C-Suite and private equity operating partners to drive adoption of analytics. Integrated data from 12 source systems into one unified data platform, allowing for reporting and predictive analytics to reach all departments and levels of the organization.

Led the design and technical deployment of a machine learning model that identified causes of customer dissatisfaction and risk of churn. Developed an application that delivered predictions and recommended service recovery actions to 1,200 operating centers in the US.

Developed dashboards that replaced manual reporting and facilitated quarterly business reviews between senior sales leaders and C-suite executives. The automated dashboards shifted the time leaders spent gathering data and preparing slides towards discussing the business implications and insights found in the data.

Created and automated a statistical framework to measure if global sponsorship had an impact on revenue growth. The experimental design helped decision making about sponsorship deals, including the renewal of a major Formula 1 deal.