Enterprise, cloud-based SaaS applications for Verizon using big data clustering, regression, and classification to analyze, predict, prioritize, and respond to customer issues in real time.

  • Verizon needed a way to analyze and track millions of customer support issues by type, device, geography and other factors every month
  • This visual inspection method allowed the business to identify in real time the most significant issues affecting customers and respond to them quickly
  • I led the UX and developed an interactive drill down interface to inspect these issues based on regression analysis, classifiers, and clustering for NFL, Verizon, and other clients