Ayesha Banu

I've built predictive analytics and business intelligence projects that turn complex data into practical insights. My Diabetes Prediction Analytics Platform forecast onset metrics with 85% accuracy using Python, Scikit-Learn, Pandas, and exploratory data analysis.

I automated outlier removal and missing-value imputation, reducing data-cleaning timelines by 30%, and applied feature selection to improve model runtime efficiency by 15%.

I've also designed a MySQL-backed online store intelligence pipeline, with indexed queries retrieving nested transaction records in under 200ms and JavaScript admin displays for historical performance tracking. In computer vision, I developed a deep-learning diagnostic classifier and improved training latency by 20% through NumPy vectorization.

Alongside my B.Tech. in Computer Science and Engineering at Presidency University, I manage communication and operational data channels for 60+ students as a Class Representative and support event scheduling, budgeting, and operations as Secretary of the IEEE Women's Club.