Democratizing Access to Data with Synthetic Data Generation


Privacy-guaranteed synthetic data can help build back public trust in data usage, but how can organizations actually use this new technology in their workflows? Join us, as we go through the many ways you can interact with and utilize Gretel Synthetics, an open-source synthetic data generator that features differentially private learning. Whether you’re a developer, data scientist, or just a data enthusiast, this hands-on workshop will show you how using either Gretel’s APIs, CLIs, SaaS Console or SDK can offer any user an easy experience generating synthetic data.


Lipika Ramaswamy is a Senior Applied Scientist at where she focuses on developing advanced synthetic data generation technologies that include privacy guarantees. Prior to, she worked as a data scientist at LeapYear, a differential privacy software company. Lipika attended Bryn Mawr College for her undergrad, where she began her STEM career, and holds a Master’s in Data Science from Harvard University.

Open Data Science




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