I'm a third-year CS (Data Science) student who builds things at the intersection of machine learning, data, and real-world problems.
- 🎓 B.Tech CSE (Data Science) — 3rd Year
- 🌱 Currently exploring NLP, RAG systems, and real-world ML pipelines
- 💼 Open to remote internships and freelance data/ML projects
- 🧠 Believer in learning by building
- 📫 Reach me at pranayaga13@gmail.com
| Project | Description | Tech |
|---|---|---|
| 🤖 EduRAG Chatbot | RAG system where students upload academic PDFs/PPTs and get citation-backed answers. Built with LangChain, ChromaDB, and GPT-3.5. Fully modular pipeline: loader → chunker → embeddings → retriever → generator | Python LangChain ChromaDB Streamlit RAG |
| 🚖 UrbanRide Analytics | Cab demand intelligence dashboard for Mumbai's ride-hailing market. Features zone heatmaps, surge analytics, ML-powered hourly demand forecasting across 10,000+ rides | React Vite Recharts Leaflet ML |
| 🏦 Loan Approval Predictor | End-to-end ML pipeline in R comparing Logistic Regression, Decision Tree, Random Forest, and SVM. Includes feature engineering, 5-fold CV, and a Shiny dashboard | R Shiny Random Forest SVM ggplot2 |
| 🎭 Face Mask Detection | Binary CNN classifier trained on 7000+ images to detect mask usage in real-time using OpenCV | Python TensorFlow OpenCV CNN |
| 🏓 Pong Game | Two-player Pong with clean OOP architecture. Ball accelerates with every hit | Python Turtle OOP |
current_focus = {
"learning": "NLP + RAG systems + real-world ML pipelines",
"building": "Something with actual impact (stay tuned)",
"looking_for": ["remote internships", "freelance ML/data work"]
}
Open to remote internships, freelance data/ML projects, and collaborations.
If you have something interesting — reach out. I don't bite.
