↑ ↑ ↓ ↓ ← → ← → — the Konami Code.
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Results-driven engineer building AI solutions, ML models, and BI dashboards that create measurable business impact. 2 peer-reviewed research papers · 7+ deployed projects.
Building at the intersection of data, intelligence, and real-world impact.
I'm a final-year Computer Science & Data Science student at Lords Institute of Engineering and Technology, Hyderabad. My work spans predictive ML models, interactive BI dashboards, and full-stack AI applications — each designed to solve genuine business problems with measurable results.
Author of 2 peer-reviewed research papers (IJLTEMAS 2025, IRJET 2026). I translate complex analytical findings into clear, actionable insights for both technical and non-technical audiences.
Proficient across the full data science stack — from raw data ingestion to production model deployment.
From raw data to polished dashboards, trained ML models to production APIs — I deliver end-to-end solutions that create real, quantifiable business value.
End-to-end data pipelines, KPI identification, and interactive dashboards in Power BI and Tableau that turn raw data into executive-ready insights.
Supervised/unsupervised ML models, RAG pipelines with LangChain & FAISS, computer vision with OpenCV — production-ready with CI/CD automation.
FastAPI backends + React frontends for AI-powered tools with automated PDF generation, REST APIs, and database integration (MongoDB/PostgreSQL).
Achieving 94% accuracy on a highly imbalanced fraud dataset using SMOTE oversampling and threshold optimization — published in IJLTEMAS 2025.
A full-stack AI healthcare assistant achieving 89% diagnostic accuracy across 15+ disease conditions — cutting manual report creation by 60%. Published IRJET 2026.
Saving 70% of manual document review time across 500+ page PDFs using GPT + LangChain + FAISS, with 80% throughput improvement via query optimization.
3+ internships across data analytics, visualization, and web development — delivering measurable business outcomes at each engagement.
Full-stack AI healthcare assistant using ML classification to predict diseases from symptoms with real-time risk scoring. FastAPI backend + React frontend with treatment dashboards and automated PDF generation.
Random Forest on 284,000+ transactions with SMOTE oversampling. 94% accuracy, 91% precision, 89% recall on severely imbalanced data.
GPT + LangChain + FAISS pipeline for 500+ page PDFs. CI/CD via GitHub Actions. Zero-downtime production deployments.
Real-time OpenCV + KNN system. Saves ~2 hrs/day admin effort, cuts record errors by 75%, fully automates daily tracking.
K-Means on 10,000+ customers — 4 high-value groups, stakeholder-adopted, improved campaign engagement by ~20%.
Python + Spark pipeline across 100,000+ listings. Power BI dashboard with 10+ dynamic filters for career insights.
Power BI dashboard tracking 12 months × 8 categories — revealed 15% revenue concentration, guided stocking strategy.
Always excited to collaborate on data-driven projects, AI applications, or innovative tech. I respond within 24 hours.
Final-year CS & Data Science student at Lords Institute, Hyderabad. Passionate about building intelligent systems that turn data into decisions. Author of 2 peer-reviewed papers, 7+ deployed projects.