Aspiring Data Scientist
MCA student at JNTU Hyderabad crafting intelligent systems from raw data — end-to-end ML pipelines, predictive models, and real-time deployments.
I'm a passionate MCA student at JNTU Hyderabad with a strong mathematical background and a deep curiosity for how machines learn from data. I specialize in building complete, production-ready machine learning workflows — from raw data all the way to deployed applications.
My journey into data science began with a love for mathematics, which gives me a solid intuition for algorithm design, feature engineering, and model evaluation. I don't just train models — I understand why they work.
Ranked 196 in TS ICET, I bring the same competitive drive to every project I take on.
My technical arsenal for turning data into decisions.
Real problems, real data, real impact.
A machine learning model that predicts crop yield using environmental and soil parameters. Implemented an ensemble of KNN, Gradient Boosting, and Voting Regressor for maximum accuracy across diverse agricultural conditions.
View on GitHubA classification model for predicting heart disease risk from patient health data. Deployed as a live Streamlit app enabling real-time prediction with full EDA pipeline, model selection, and evaluation using accuracy metrics.
View on GitHubI'm actively looking for data science roles and collaborations. Whether you have a project in mind or just want to chat about ML — my inbox is always open.