A Flask-based web application that predicts student academic outcomes — Dropout, Enrolled, or Graduate — using an LSTM neural network trained on academic performance data. The system analyzes past student records to identify at-risk learners and supports early intervention.

Excel data analysis and storytelling project from the JPMorgan Chase & Co. virtual internship on Forage. Includes data cleaning, VBA macros, dashboards, and business insights.

Power BI dashboard analyzing Shopify sales, customer behavior, and retention metrics to drive business insights.

An interactive Streamlit app for predicting student performance using Random Forest regression and data visualization tools.