Abhay Naik

I am an engineer, product builder, and data scientist passionate about transforming complex data into intelligent, scalable products that deliver real-world impact. Currently pursuing my Master’s in Information and Data Science at UC Berkeley, I bring a blend of technical depth, product strategy, and entrepreneurial drive across AI/ML systems, cloud engineering, and user-centric analytics. 

I currently work as an Enterprise Data Engineer at The Groove, where I design and deploy AI-powered research agents, automate KPI computation pipelines in Databricks, and build ETL frameworks that transform Workday data into enterprise-grade analytical models. Previously, I worked at Cognizant as an Integrations Consultant, leading the end-to-end lifecycle of 100+ Workday integrations, building executive dashboards, and reducing operational workload through automation and scalable data systems.

My recent projects include building a real-time AI voice assistant platform for healthcare—featuring a HIPAA-compliant AWS architecture, multi-call orchestration, and a full-stack analytics dashboard—as well as IntegraMS, a cloud-based multi-omics prediction engine and visualization system for Multiple Sclerosis progression. My technical expertise spans Python, Java, ML pipelines, Databricks, React/Tailwind, AWS (S3, EKS, DynamoDB), and scalable data integration frameworks.

Across my work, I’m driven by a consistent mission: to bridge advanced machine learning with practical applications that improve outcomes, reduce friction, and empower users. I’m particularly interested in intelligent automation, multi-modal healthcare analytics, and the next generation of AI-enabled product ecosystems. I hold a B.S. in Management Information Systems with a Computer Science minor from San Jose State University.