Muskan Katyayan

I built machine learning prediction systems for Netflix genre prediction, fake job posting detection, and student placement prediction. I cleaned and prepared datasets, engineered features, and trained and evaluated classification models using Scikit-learn.

For my AI Customer Complaint Management System, I developed a full-stack application that manages complaints and extracts information from customer-provided documents. I integrated REST APIs with FastAPI and implemented complaint validation and classification workflows.

On FuelNow, an emergency fuel assistance platform, I developed and improved reusable React.js components, tested application features, and helped debug frontend issues.

As a Frontend Developer Intern at Comestro Tech Labs, I worked on reusable React.js components and investigated interface and functionality issues. I’m interested in building AI-powered applications and conversational systems.