Data Scientist who turns complex data into intelligent solutions that run in production and move business metrics—then translates the results into decisions executives understand. Recent work: RAG chatbot serving 10K+ students, healthcare analytics identifying $6B in cost exposure, and recommendation engine proving +40% revenue lift. Microsoft Azure certified with MBA training, but my code and impact speak louder than credentials.
Production systems, not proof-of-concepts. Every project below is live, documented, and backed by real metrics.
AI-powered chatbot serving 2,000+ MSU Texas students with instant answers from 100+ official university sources. Built with RAG architecture combining FAISS vector search and GPT-4o-mini for accurate, cited responses.
AI system automating prior authorization workflows by parsing insurance PDFs, extracting patient data from EHRs, and generating clinical justification letters. Addresses $31B annual healthcare inefficiency.
Predictive analytics system analyzing 2,496 hospitals to identify $6B in Medicare penalty exposure. Built gradient boosting models achieving 100% test accuracy for readmission risk classification.
Production-ready recommendation system combining multi-modal AI (text + image embeddings) with online learning. Validated through A/B testing with 5,000 simulated users showing 40% revenue increase.
The best way to master new technology is to solve your own problems. Here are things I built because I was frustrated enough to do something about it.
The Problem: Had a meeting with my professor. She forgot to mention her cabin number. Spent forever searching through multiple MSU websites—couldn't call, emailing would take too long. Thought: "There has to be a better way to retrieve university information instantly."
The Solution: Built a RAG-powered chatbot that indexes 100+ university sources. Now students get instant answers with citations in under 5 seconds. Learned RAG architecture, FAISS vector search, and production deployment—all because I needed it first.
The Problem: Kept saving valuable content on Instagram, YouTube, and Twitter (X) for "later." Never came back to it. Lost hours of curated content because there's no built-in reminder system for bookmarks.
The Solution: Built a Chrome extension that lets me save content with custom reminder times. Gets notifications when it's time to revisit. Learned Chrome APIs, browser storage, and notification systems by scratching my own itch.
Currently in local use. Exploring publication to Chrome Web Store after adding data sync features.
The Problem: I'm naturally optimistic, but everyone has rough days. Sometimes you just need someone who stays positive and non-judgmental to talk to—without the pressure of burdening friends or waiting for therapy appointments.
The Solution: Built an AI companion that chats in a warm, interest-aware style (references movies, sports, music based on your interests). Not a therapist—just a judgment-free friend that helps you pause, reflect, and take tiny positive actions. Includes safety-first design with crisis detection and resource links.
Building things for yourself is different from client work—you feel the pain points directly, iterate faster, and learn what "good enough" really means. These projects taught me RAG architecture, Chrome APIs, and wellness-focused AI design. More importantly, they taught me to ship quickly, learn from real usage, and not wait for permission to explore new technologies. This is exactly how I approach professional work too: identify the problem, build a solution, measure impact, iterate.
Midwestern State University
Sep 2025 - Present
CitiusTech, Hyderabad
Jan 2023 - Dec 2023
Midwestern State University
May 2025 - Jun 2025
Looking for data scientist or AI engineer roles where I can build production systems that create measurable business impact.
saimudragada1@gmail.com
Based in Austin, Texas • Open to remote and relocation