Niharika V

I’m a Computer Science graduate who builds end-to-end data analytics and web solutions, combining Python and SQL with practical machine learning. In my Data Analyst internship at Rooman Technologies, I analyzed large datasets with Pandas/NumPy and Excel, delivered stakeholder dashboards and reports, and reduced reporting turnaround time by ~40% through automated Excel workflows and Python scripts.

My projects reflect how I like to solve real problems: I built an end-to-end credit card fraud detection pipeline using an Isolation Forest model and identified 38 true fraud cases at a 2.5% contamination rate, alongside customer segmentation with K-Means. I also develop responsive interfaces (HTML5/CSS3/JavaScript) and have experience integrating front-end components with REST APIs, aiming to apply my analytical thinking and engineering mindset to drive business impact.