Charmee Patel

Head of Innovation and Data Science, Syntasa

Charmee Patel leads Product Innovation activities at Syntasa. She has extensive experience synthesizing customer, visitor, and prospect data across multiple channels and scaling emerging big data and AI systems to handle the most demanding workloads. This experience guides her work helping clients deploy innovative ways to apply AI and Machine Learning to their marketing data and developing the next generation Marketing AI Platform.

Think Behavioral Data Pipelines Are Too Complex? They’re Not.

The sheer amount of behavioral data that consumers generate online each day is exactly what makes it so useful to companies. It’s also, of course, what makes this data so difficult to process and consolidate. Syntasa’s platform is designed to make it simple for enterprises to build the behavioral data pipelines which provide better analytics, better decisions, and better actions.

The sheer amount of behavioral data that consumers generate online each day is exactly what makes it so useful to companies. It’s also, of course, what makes this data so difficult to process and consolidate. Syntasa’s platform is designed to make it simple for enterprises to build the behavioral data pipelines which provide better analytics, better decisions, and better actions.

Tools to Help You Collaborate with Your Data Science Team

Putting AI/ML models into production is a team effort. Multiple individuals are involved and it takes a great deal of planning and teamwork...

Putting AI/ML models into production is a team effort. Multiple individuals are involved and it takes a great deal of planning and teamwork...

Lookback Windows are Critical for Successful Models with Behavioral Data

In a constantly shifting digital ecosystem, we need to view data from the perspective of each individual visitor’s experience using a relative window.

In a constantly shifting digital ecosystem, we need to view data from the perspective of each individual visitor’s experience using a relative window.

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