I’m a third-year B.Tech CSE (Data Science) student focused on machine learning, data engineering, and real-world ML products.
- 🎓 B.Tech CSE (Data Science) — 3rd Year
- 🧠 Currently diving deep into NLP, RAG systems, and production ML pipelines
- 💼 Open to remote internships and freelance data/ML projects
- 📫 Reach me: pranayaga13@gmail.com
I learn by building and prefer projects that solve actual problems over toy datasets.
| Project | What It Does | Tech |
|---|---|---|
| 🤖 EduRAG Chatbot | RAG system where students upload academic PDFs/PPTs and get citation-backed answers. Modular pipeline: loader → chunker → embeddings → retriever → generator. | Python LangChain ChromaDB Streamlit RAG |
| 🚖 UrbanRide Analytics | Cab demand intelligence dashboard for Mumbai’s ride-hailing market: zone heatmaps, surge analytics, and ML-powered hourly demand forecasting on 10k+ 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 with 5-fold CV and a Shiny dashboard. | R Shiny Random Forest SVM ggplot2 |
| 🎭 Face Mask Detection | Binary CNN classifier trained on 7k+ 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 on each hit. | Python Turtle OOP |
Tip: Pin these 4–5 repos on your profile and keep their individual READMEs strong (problem, solution, stack, how to run, screenshots). [9][14]
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.
