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

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

Data Analytics

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

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

Trading Analysis

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

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

People (28)

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Other teams

Data Team

Engineering Team

Trading Analysis

Trading and Operations Team

Software Development