Developed an unsupervised ML model to segment mall customers by income and spending behavior, achieving optimal clustering (K=5) and powering a Streamlit dashboard for targeted marketing and customer retention strategies.
Developed a machine learning model to predict student performance with 77% accuracy, delivering actionable insights and interventions through a Streamlit web app.
