Summary
Frank Silva is a Senior Solutions Engineer with a decade of experience translating sports data into actionable predictive models and visualizations for MLS, NFL, NBA, and NHL organizations. He has led analytics initiatives at SAS and Dataiku, specializing in revenue forecasting, retention modeling, next-best-action recommendation engines, and text analytics for surveys and social media. His background blends hands-on data engineering, R-driven research from UNC (including an original win-probability model for soccer), and consultative pre/post-sales technical leadership. Known for turning complex sports problems into deployable analytics workflows, he pairs domain expertise in soccer performance with practical experience delivering enterprise analytics solutions.
10 years of coding experience
8 years of employment as a software developer
Bachelor of Science (BS), Business with Honors and Mathematical Decision Sciences, Bachelor of Science (BS), Business with Honors and Mathematical Decision Sciences at UNC Chapel Hill
English, Portuguese, Spanish