B.Tech Computer Science student passionate about turning data into insights and building intelligent solutions for real-world problems.
Advanced Agentic RAG system with autonomous decision-making for intelligent document analysis and real-time web search. Features space-themed UI, dual deployment architecture (Ollama + Groq), and sub-3 second response times with 96.8% accuracy in source selection.
Developed an advanced cybersecurity solution achieving 98.12% accuracy in URL classification using hybrid ensemble methods. Integrated Logistic Regression, Support Vector Classifier, and Decision Tree with Canopy feature selection on 32 URL features from 11,000+ samples.
Conducted customer segmentation using clustering algorithms to identify key purchasing patterns and target groups. Generated actionable insights for personalized marketing strategies and business growth in e-commerce platforms.
Specialization: Data Science
CMR TECHNICAL CAMPUS
Expected Graduation: 2026