Swish Analytics operates as machine learning system for sports.

Games

Data

Analytics

AI/ML

Sports

Swish Analytics

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

Joseph Hagen

Daniel Alfreds

Adrian Russo

Jessica Mendenhall, PHR, SHRM-CP

Charles (Sandy) Weil

Research & Experimentation Scientist

Product Scientist

Soccer Data Scientist - EU

Corey B.

Andrew Felder

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

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.

Engineering Team

The Trading and Operations Team at Swish Analytics is responsible for analyzing sports data to inform trading strategies, operating and optimizing trading systems, and managing risk. This team leverages machine learning models to ensure accurate and efficient sports trading activities.

Trading and Operations Team

The Leadership Team at Swish Analytics directs the company's strategic vision, oversees the development of advanced machine learning models for sports analytics, and drives organizational growth. This team combines expertise in data engineering, technological innovation, talent acquisition, and executive management to ensure Swish Analytics remains at the forefront of sports analytics solutions.

Leadership Team

The Human Resources & Talent team at Swish Analytics focuses on attracting, hiring, and retaining top talent to enhance the company's machine learning systems for sports. They handle recruitment, employee development, and organizational culture, ensuring that the workforce is skilled and motivated.

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Swish Analytics

Org chart

Teams

Data Team

Engineering Team

Trading and Operations Team

Leadership Team

Human Resources & Talent

Offices

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Swish Analytics

Org chart

Teams

Data Team

Engineering Team

Trading and Operations Team

Leadership Team

Human Resources & Talent

Offices

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