talk-data.com talk-data.com

N

Speaker

Neha Pande

1

talks

Senior Solution Architect Databricks

Neha Pande is a Senior Solutions Architect at Databricks, focusing on the Health and Life Sciences (HLS) vertical. With over 12 years of experience spanning data engineering, advanced analytics, and cloud architecture, she partners with leading organizations to design and implement scalable, data-driven solutions across clinical research, real-world evidence.. Neha is passionate about applying modern data platforms, machine learning, and AI to drive innovation in healthcare, with a mission to accelerate scientific discovery and improve patient outcomes at scale.

Bio from: Data + AI Summit 2025

Filtering by: Data + AI Summit 2025 ×

Filter by Event / Source

Talks & appearances

Showing 1 of 1 activities

Search activities →
Validating Clinical Trial Platforms on Databricks

Clinical Trial Data is undergoing a renaissance with new insights and data sources being added daily. The speed of new innovations and modalities that are found within trials poses an existential dilemma for 21CFR Part 11 compliance. In these validated environments, new components and methods need to be tested for reproducibility and restricted data access. In classical systems, this validation process would often have taken three months or more due to the manual validation process via validation scripts like Installation Qualification (IQ) and Operational Qualification (OQ) scripts. In conjunction with Databricks, Purgo AI has developed a new technology leveraging generative AI to automate the execution of IQ and OQ scripts and has drastically reduced the amount of time for validating Databricks from three months to less than a day. This drastic speedup of validation will enable the continuous flow of new ideas and implementations for clinical trials.