At IIT Guwahati, I developed anomaly detection solutions for healthcare claims data using Python libraries and machine learning approaches. I improved model accuracy through feature engineering and preprocessing, then compared supervised, unsupervised, and deep learning methods.
On my Smart Energy Anomaly Detection project, I developed an IoT-based system to capture and analyze campus energy consumption. Its anomaly detection pipelines forecast usage trends and identify irregular patterns.
I also built dashboards for NYC demographic data, sales analysis, and weather visualization. These projects used React.js, D3.js, Recharts, MySQL, and Tableau to make data and trends easier to explore.
