Featured Projects
“Information is the oil of the 21st century, and analytics is the combustion engine.” — Peter Sondergaard.
Fetal Health ML Analysis
Machine learning-based fetal health classification system using cardiotocography data. Compares multiple algorithms (XGBoost, Random Forest, MLP, Logistic Regression) for predicting fetal health status with 95.9% accuracy.
Tech: Python, Scikit-learn, Pandas, etc.
Brain Tumor VGG16 Transfer Learning
Deep learning brain tumor classification using fine-tuned VGG16 with transfer learning. Achieves 89% accuracy in classifying MRI scans into 4 categories: glioma, meningioma, pituitary tumor, and no tumor.
Tech: TensorFlow, PIL, NumPy, etc.
Python Refresher with Simulated Healthcare Data
A Python fundamentals refresher using simulated healthcare datasets to demonstrate core programming concepts, data analysis, and visualization techniques.
Tech: Pandas, Matplotlib, Seaborn, etc.