At IIT Jammu, I built an AI-powered interview feedback tool that generates structured, HR-style feedback on clarity, tone, and content during real-time mock interviews.
For my Customer Shopping Behavior Analysis project, I segmented 3,900+ transactions with SQL and explored purchase patterns in Python. I also built an interactive Power BI dashboard to track KPIs across categories, customer demographics, subscriptions, and shipping.
On the GenAI Smart Interview Assistant project, selected under AI-Driven Live Call Insights at the GenAI Hackathon (Impetus & AWS), I built an AI-powered tool for mock interview analysis.
I also developed a Selenium WebDriver end-to-end testing framework that cut manual testing time by 40%, alongside a JavaScript authentication interface with client-side validation.

