About

I am a B.Tech Data Science student with a hands-on approach to learning — I prefer building and experimenting over theory alone.

My academic and personal projects span machine learning, neural networks, time series forecasting, web scraping, and dashboard development. I work primarily in Python, using libraries such as scikit-learn, NumPy, Pandas, and TensorFlow, alongside SQL for data querying and Excel, Tableau, and Power BI for analysis and visualization.

I am currently focused on building applications in generative AI, retrieval-augmented generation (RAG), and computer vision, with plans to deploy them on Azure so visitors can interact with live demos.

I am open to internships, collaborations, and opportunities to apply data science in practical settings.

Education

B.Tech in Data Science — In progress