And I'm a Data Science / ML Enthusiast
I build machine learning projects that turn raw data into practical, working applications — from content-based recommendation systems to disease-prediction tools, deployed as interactive web apps.
I'm an MCA student passionate about building practical machine learning applications. My work spans content-based recommendation systems, regression models for business predictions, and multi-disease diagnostic tools — all built end-to-end with Python, scikit-learn, and Streamlit, and deployed live for anyone to try.
Building predictive models using scikit-learn — regression, classification, and recommendation systems trained on real-world datasets.
Cleaning, exploring, and visualizing data with Pandas and Matplotlib to uncover patterns and communicate insights clearly.
Turning notebooks into interactive Streamlit web apps that anyone can use directly in the browser — no setup required.
Interactive dashboard for monitoring and analyzing Aadhaar demographic update patterns across India, with state/district filters and CSV/PDF export.
Have a project, opportunity, or just want to talk about data & machine learning? Feel free to reach out — I'd love to hear from you.