Data Analysis Projects

News Classification

Developed a comprehensive News Classification project involving EDA, modeling, and Streamlit deployment. Compare the effectiveness of various Neural Networks, including CNN, RNN, and feedforward architectures, along with Multinomial Naive Bayes models

Breast Cancer Classification

Developed an in-depth Breast Cancer Classification project, featuring EDA and modeling. Compared the performance of Random Forest models implemented with both Sklearn and Spark, as part of the Advanced Data Science with IBM Specialization

Bank Churn Classification

Delved into a comprehensive Bank Churn Classification project, going through univariate and bivariate analysis, feature engineering, baseline model selection, and the implementation of a robust voting classifier with LGBMClassifier, XGBoostClassifier, and CatBoostClassifier, optimizing AUC