Poojitha YR

I've built end-to-end data analytics and machine learning projects that turn healthcare and social-media data into practical predictions and insights.

For an AI-powered clinical decision support system, I used Python, Scikit-learn, and Streamlit to support disease prediction from symptoms, patient history, emergency risk factors, and real-time vitals. I improved predictions through preprocessing and clinical feature engineering.

I also developed models for chronic kidney disease stage identification and cyberbullying detection, using data cleaning, feature selection, NLP preprocessing, TF-IDF, Random Forest, and classification model evaluation.

I'm completing an MCA while maintaining an 8.82 CGPA, building on a BCA foundation in data structures, DBMS, machine learning, data analytics, and software engineering. I bring hands-on capability in Python, SQL, Power BI, Tableau, Excel, and dashboard-driven decision-making.