I am a data science enthusiast with a formal training in computer science and applied mathematics, with interests spanning over broad areas of data analytics and visualization, machine learning, large language models, and neural networks. My passion is to use data to solve problems and gain insights. I am always looking to stay up‐to‐date with the latest developments in the field and I am interested in pursuing a career in developing new data‐driven products.
This project aims to classify whether a given email is spam or legitimate by employing techniques from natural language processing.
The primary goal of this project is to automatically categorize movies into distinct genres based on their plot summaries..
Automates the categorization process by ensuring that news content is efficiently classified into relevant topics through NLP.
Developed a machine learning model to predict the likelihood of diabetes in individuals based on relevant medical and demographic data.