6-Month Internship · Remote
- Engineered robust system analyzing 4,500+ patient records to predict four distinct chronic diseases.
- Achieved 89.3% peak accuracy using optimized Random Forest, SVM & Logistic Regression machine learning models.
- Facilitated early diagnosis and preventative healthcare by automating risk assessment for complex conditions.
Python
Scikit-Learn
Jupyter Notebook
Streamlit