Alishba Naz

I'm a self-taught Data Scientist with a passion for solving real-world problems using AI. I specialize in building machine learning and deep learning models, taking projects from data cleaning and preprocessing to training and deploying them into real-time applications using tools like Streamlit and Flask.

Throughout my journey, I have designed, built, and deployed multiple machine learning models, focusing on healthcare predictions and real-time applications. My projects include emotion detection using CNNs, breast cancer prediction, and sentiment analysis, all aimed at making impactful contributions to society. I am always exploring new ways to enhance model performance and usability.