My Projects
Categorizing tumor types using over thirty independent descriptors from medical reports by analyzing best clustering algorithm amongst Gaussian Naive Bayes, Decision Tree, and Random Forest, Achieved 96.26% accuracy,
Increasing sales of an e-commerce clothing fashion brand by analyzing customer feedback data using text mining, sentiment analysis and natural language processing to identify purchasing behaviour.
Working with Global Fishing Watch to visualize illegal fishing activity. Global Fishing Watch uses AIS tracking devices info to show what's happening in the oceans around the world.