Certified in full-stack Data Science including data modeling, data visualization and statistical concepts. Freelancer supporting startups to drive growth using supervised learning techniques.
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.
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,