Shiva Shankar

I am a Computer Science undergraduate focused on building end-to-end machine learning models and full-stack web applications. I combine data-driven analysis with pragmatic engineering to deliver usable products.

I completed a web development internship where I improved UI, API performance, and mobile engagement, and I led multiple ML projects — including a student performance predictor (96% accuracy), a fraud detection model, and a CNN-based plant disease classifier deployed via Flask. I emphasize data preprocessing, feature engineering, and model optimization to produce reliable, efficient systems.

I thrive in Agile teams, contribute to open-source, and seek opportunities to apply ML and full-stack skills to solve real-world problems in healthcare and finance.