• Developed an emotion detection system in Python 3, employing multinomial NB and logistic regression for sentiment analysis of a 10,000-tweet Kaggle dataset. Achieved 87% accuracy, surpassing the industry benchmark by 10%. • Optimized processing time by 40% through Python code optimization in Jupyter Notebook, enabling faster sentiment analysis and real-time insights.