Data Engineering

Getting the most out of data in soccer requires domain-specific infrastructure and tooling.

Making tracking data accessible is my specialty

 

At Second Spectrum I designed and built a system for normalizing, evaluating, and correcting eventing data. This allowed their data pipeline to work with events from any data provider.

I also architected Second Spectrum’s framework for querying soccer data by player, team, or competition. This drastically simplified the process for analyzing data beyond the scope of a single match.

As a consultant I have been working to make tracking data as easy to use as eventing data. From fully managed data infrastructure to software libraries and tools - squandered tracking data can be a thing of the past.

Contact me for more information or a demo!

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Major League Soccer

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Applied Machine Learning