Swish Analytics operates as machine learning system for sports.

AI/ML

Analytics

Data

Games

Sports

Swish Analytics

Swish Analytics' headquarters in San Francisco, CA, United States

Joseph Hagen

Andrew Corser

Daniel Alfreds

Matt Garrigan

Soccer Data Scientist - EU

Research & Experimentation Scientist

Product Scientist

Jessica Mendenhall, PHR, SHRM-CP

Charles (Sandy) Weil

Corey B.

Andrew Felder

Adrian Russo

The Data Team at Swish Analytics leverages advanced machine learning techniques to analyze and predict sports outcomes. This team, comprising data scientists, data engineers, and data science managers, collaborates to collect, process, and interpret vast amounts of sports data. Their insights and models enhance the company's sports analytics platform, providing accurate forecasts and strategic recommendations to clients.

Data Team

This department focuses on analyzing data, creating models, and developing data-driven insights to support decision-making across the organization.

Data Analytics

This department focuses on analyzing market trends and data to support trading decisions.

Trading Analysis

This department focuses on designing, coding, and maintaining software applications and systems.

Software Development

This department analyzes data related to sports trading to inform strategic decisions.

Sports Analytics

The Engineering Team at Swish Analytics develops, maintains, and secures the machine learning systems used for sports analytics. They ensure the reliability, scalability, and performance of the platform while continuously implementing new features and improvements. Additionally, they focus on infrastructure automation, system security, and data processing efficiency to support real-time analytics and insights.

Swish Analytics

Org chart

Teams

Data Team

Data Analytics

Trading Analysis

Software Development

Sports Analytics

Engineering Team

Offices

Swish Analytics

Org chart

Teams

Data Team

Data Analytics

Trading Analysis

Software Development

Sports Analytics

Engineering Team

Offices

Related companies