Built a Twitter Sentiment Analysis project leveraging the Sentiment140 dataset (1.6 million tweets), where a machine learning model accurately classifies tweets as either positive or negative. The system enhances brand monitoring and crisis management by automating sentiment analysis on Twitter, providing actionable insights.