Data Analysis Projects

Cryptocurrencies Analysis

Developed an EDA and modeling project for Cryptocurrencies Analysis, comparing the performance of ARIMA, XGBoost, LSTM, and Prophet models. Explored the strengths and weaknesses of each algorithm, aiming to provide insights into their suitability for forecasting tasks

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