PRAGNA REDDY

Modernized AI-driven Risk Analytics and Marketing Attribution Platform using IBM WatsonX, Microsoft Fabric, and FinOps for banking and P&C sectors, integrating RAG pipelines, Agentic AI, and Gen AI copilots for automation and compliance.
Implemented scalable AI/ML and data pipelines (Databricks, Azure, N8N) with automated anomaly detection, multi-channel marketing analytics, and real-time financial model documentation.

Multi-Cloud Genomic Data Platform (CVS Health)
Developed HIPAA-compliant multi-cloud data pipelines integrating EHR and genomic data using AWS, GCP Vertex AI, and Microsoft Fabric; implemented Gen AI copilots and RAG systems to automate genomic annotation, analysis, and QA workflows.

Developed a state-wide AI-driven citizen services analytics platform by modernizing legacy Hadoop systems to GCP (Dataproc, BigQuery, Dataflow) for real-time insights.
Enabled predictive modeling, fraud detection, and policy optimization across healthcare, unemployment, and benefits programs with TensorFlow, Spark MLlib, and automated data pipelines.

Developed a scalable CRM analytics platform on GCP by integrating Salesforce, Siebel, and internal systems into BigQuery with real-time data pipelines using Pub/Sub and Dataflow.
Enabled unified customer insights, reduced data latency to under 30 minutes, and delivered interactive dashboards for churn prediction and product adoption analysis.

Developed a scalable CRM analytics platform on GCP by integrating Salesforce, Siebel, and internal systems into BigQuery with real-time data pipelines using Pub/Sub and Dataflow.
Enabled unified customer insights, reduced data latency to under 30 minutes, and delivered interactive dashboards for churn prediction and product adoption analysis.