Venkata sai pavan Dema User

Engineered enterprise GenAI agents and real-time RAG pipelines, saving 900+ hours/year, improving compliance accuracy by 42%, and cutting retrieval latency by 65%. Built MLOps automation that delivered 99.2% fraud detection precision and reduced deployment lead times by 37%.

Built end-to-end claims analytics to reduce reporting turnaround by 41% and improve claim prediction accuracy to 92.7%. Developed churn-prevention segmentation and governed MLOps deployments across Azure and GCP, driving an 18% reduction in customer attrition.

Developed patient readmission prediction achieving 94.5% model accuracy and reducing readmissions by 13% within 6 months of go-live. Implemented Azure ML-based MLOps, HIPAA-compliant ETL, and explainable clinician dashboards, improving physician adoption by 38%.

Engineered customer churn and merchandising analytics, reducing churn by 20% and increasing average order value by 11% through predictive promotions. Built AWS-based data ingestion and near-real-time product analytics pipelines, cutting reporting turnaround time by 46%.

Earned a Master of Science (MS) in Information Systems and Technology at the University of the Cumberlands.

Earned a Bachelor of Technology (B.Tech) in Information Technology at Christ University.