I’m a Computer Science and Business Systems student at VIT Vellore, graduating in 2026, with a strong interest in building practical, data-driven solutions.
I’ve worked across data analytics, machine learning, and backend-focused projects through internships at Morgan Stanley, NIT Rourkela, and early-stage teams. During my time at Morgan Stanley, I built a machine learning–powered dashboard to detect anomalies in log data and developed an internal chatbot to simplify recurring queries, helping teams work faster and more efficiently.
I enjoy turning complex problems into clear, usable systems, whether it’s dashboards, analytics workflows, or lightweight tools that improve everyday work. I’m comfortable with Python, data visualization, documentation, and collaborating across teams.
Outside of work, I actively contribute to tech communities, explore new tools through hands-on projects, and enjoy learning by building. I’m always curious, open to feedback, and excited about roles where technology meets real-world impact.