Rashmi Murugkar

I am a Computer Science (Artificial Intelligence) student passionate about uncovering patterns and turning complex datasets into clear, decision-ready insights. I enjoy treating data as a puzzle and solving it with curiosity and rigor.

My hands-on experience includes building interactive Power BI dashboards, developing Streamlit apps using large language models, and designing a YOLOv8 + reinforcement learning system to optimize traffic signals. I focus on data cleaning, statistical and predictive modeling, and visual storytelling to drive business outcomes.

As a Data Science intern, I performed ETL, wrote optimized SQL and Python scripts, and collaborated with stakeholders to deliver dashboards and analytical solutions. I have competed and published work—reaching milestones like an IEEE publication, finalist at Smart India Hackathon 2023, and coding rankings on platforms such as CodeChef and HackerRank.

I bring a practical, team-oriented approach and a proven ability to communicate insights; I’m eager to collaborate, explore new problems, and build data-driven solutions that create measurable impact.