pravallika User

Led design and delivery of an end-to-end AI/ML platform processing large-scale structured and unstructured enterprise data; architected NLP document intelligence pipelines and deployed production-grade models with CI/CD, monitoring, and explainability to drive reliable predictive insights.

Designed and implemented applied data science solutions for risk analytics, prototyped LLM integrations for automated risk narratives and chatbots, and delivered predictive and anomaly detection models that improved executive adoption and analytic insights.

Owned end-to-end delivery of AI-driven document intelligence solutions using transformer and CNN models, achieving 94% accuracy on medical document categorization and automating 60% of manual document review through productionized ML services and MLOps practices.

Built telecom analytics ML solutions including automated log classification, KPI forecasting, and LSTM-based fault prediction that improved fault prediction accuracy by 30% and reduced manual triage by 40%.

Developed and maintained enterprise web and mobile applications, implemented RESTful microservices and CI/CD pipelines on Azure, improving deployment reliability and supporting large-scale field service operations.

Completed a Bachelor of Technology in Electrical and Electronics Engineering focused on foundational engineering principles and technical coursework.