I'm Nabajyoti Pandey, a passionate data enthusiast with a keen interest in Generative AI, Machine Learning, and Data Engineering. My journey began with a curiosity about how data can drive decisions and has since evolved into building scalable data pipelines and intelligent applications.
I've spent the past few years engineering scalable data pipelines, deploying real-time risk models, and building interactive analytics dashboards — powering everything from derivative clearing and HFT backtesting to machine learning–based portfolio optimization.
I'm particularly fascinated by the intersection of data and technology, aiming to harness this synergy to create impactful solutions.
An automated system designed to generate detailed proposal letters for NGOs. It utilizes prompt engineering, generative AI, and retrieval-augmented generation (RAG) techniques.
A machine learning-powered Flask-based web application designed for product recommendation. It delivers personalized suggestions to users based on their preferences and behaviors.
An end-to-end data engineering project utilizing the IPL dataset. It encompasses data extraction, transformation, and loading processes, leveraging tools like Apache Spark and Snowflake.
I'm always open to collaboration, learning, and new opportunities. Feel free to reach out!
- GitHub: nabojyoti
- Email: [email protected]
- LinkedIn: Nabojyoti Pandey
- Kaggle: kaggle