Shielding against SMS spam and Cyber Bullying, 03/01/24, 04/30/24, Leveraged advanced deep learning and NLP techniques to develop high-accuracy models, effectively addressing critical challenges in online communication and enhancing user safety. Implemented robust models capable of detecting spam and bullying messages with over 90% accuracy. Enhanced user safety by reducing spam incidents by 40% and cyberbullying reports by 30%. Technologies and Tools: LLM, BERT, DNN, LSTM, Bi-LSTM Automatic Topic Identification in Destination Reviews, 09/01/23, 12/31/23, Engineered a cutting-edge hybrid topic modeling approach utilizing BERT, GPT-2, and K-means clustering, achieving a 20% increase in topic identification accuracy for tourism data. Achieved a 20% improvement in accuracy for topic identification in tourism data. Technologies and Tools: Python, Jupyter Notebook Customer Segmentation using Machine Learning, 09/01/23, 11/30/23, Executed RFM analysis and advanced machine learning algorithms to segment customers, enhancing personalization and marketing strategies. Improved personalization and marketing strategies, resulting in a 25% increase in customer retention and a 15% boost in sales. Technologies and Tools: Python, Streamlit E-commerce Website, 04/01/23, 05/31/23, Designed an innovative e-commerce platform, integrating robust security measures and advanced financial functionalities to ensure secure transactions and elevate user experience. Resulted in a 30% increase in user engagement. Technologies and Tools: NodeJS, MySQL