My research interests lie at the intersection of artificial intelligence and data science, with a focus on Natural Language Processing (NLP), evolutionary algorithms, and neural networks. I am particularly passionate about developing innovative methods to analyze and interpret complex data patterns. My work in NLP involves creating models for text analysis, sentiment detection, and textual similarities extraction, leveraging machine learning and deep learning techniques. Additionally, I am intrigued by the potential of evolutionary algorithms to solve optimization problems and enhance clustering methods. My ongoing projects explore social media analysis and pattern mining, aiming to uncover hidden insights and contribute to advancements in the field of data science.