philix Mahima

I’m a recent Computer Science graduate with a B.Tech in CSE (AI&ML), trained to turn data into intelligent, user-impacting solutions. I’m passionate about research and innovation in AI, and I love working on problems where thoughtful modeling and clean analysis matter.

In my AIML & Data Science internship, I developed an end-to-end music recommendation system using collaborative filtering, achieving 88%+ user satisfaction with a 10,000+ song catalog. I analyzed 5,000+ user behavioral patterns to improve recommendation accuracy by 35%, and I implemented real-time playlist personalization with <1s response time.

I also completed a Python Full Stack Development internship, where I built 3 full-stack Flask applications with REST APIs and reduced page load time by 40% through SQL query optimization. That experience strengthened my understanding of data flow, user interaction, and structured reporting—skills I apply directly to data analysis and visualization.

Through projects like “Sales Insights” and “Revenue insights in hospitality domain,” I designed Power BI dashboards to help teams interpret trends and make decisions. Whether it’s uncovering drivers behind revenue changes or building clear analytics for next-quarter growth, I aim to create solutions that are both accurate and actionable.