COVID-19 Sentiment Analysis, Conducted comprehensive analysis of 179,108 unique tweets from Kaggle using text mining techniques and sentiment lexicons; produced visual reports that informed five key policy recommendations aimed at addressing public concerns during the pandemic. Hospital Readmissions Prediction, Developed a predictive model focusing on log loss minimization up to 0.65 to optimize hospital readmission accuracy for CMS programs. Performance Analysis of Data Structures, Evaluated Binary Search Trees and Hash Tables for time complexity in key operations, providing insights into data storage optimization.