Svarup Sankar

I developed and deployed FinTracker, a full-stack personal finance dashboard for tracking transactions and viewing financial analytics. I built its REST APIs with Express.js and created interactive visualizations with Chart.js.

For the TCS iON Applied Industry Projects internship, I developed a Python application to classify news using TF-IDF and Logistic Regression. I also built a Streamlit interface for real-time predictions and worked on data preprocessing, testing, and deployment activities.

I also developed a movie recommendation application using content similarity techniques and external movie information APIs. At IBM ICE DAY, I presented on seasonality in sales and secured first place; I secured second place the following year with a presentation on quantum computing.