Available for internships 2026
I'm Yedru Naga Pragnesh, a CSE undergraduate at SRM University blending data science, AI and product management to build impactful software.
Python was supposed to be a programming language. Somehow, it became my personality.
I'm interested in Data Science, AI & Machine Learning and Product Management. I enjoy building products, solving problems, and finding stories hidden in data.
Proficient in the Python ecosystem — NumPy, Pandas, Matplotlib, Seaborn — I combine analytical thinking with clean code practices to solve real-world problems.
Microsoft Student Community — SRM
Working on website management, content updates, and improving the digital presence of the community through collaborative technical projects and event support.
Singularity Student Lab
Collaborating on cutting-edge projects at the intersection of AI and emerging technologies, building innovative solutions.
A comprehensive data analysis tool that examines student performance metrics. Built a full preprocessing pipeline to clean, transform, and validate datasets.
An AI-powered career guidance platform that helps users identify, track, and improve their skills with personalized learning paths based on goals.
A campus-based social navigation app allowing users to connect and track real-time locations, exploring places friends visited with an intuitive UI.
Leading the technical team — driving technical initiatives, web development, workshops and hackathons, while coordinating across teams to ship community projects.
Technical lead and organizer for SYNORA, an 18-hour freshers hackathon featuring orientation, technical sessions, workshops, and an intensive 12-hour build phase. Secured a sponsorship valued at $5,250 through direct corporate outreach, independently initiating and driving sponsor engagement for SYNORA.
Participated in DataForge 2026 and advanced to the final round, building a data-driven solution under a competitive hackathon environment.
Regularly take part in hackathons, technical competitions, workshops and campus technology initiatives to explore new technologies and build practical solutions.
Actively seeking internship opportunities in AI & Machine Learning, Data Science, and Product Management. Open to collaborations.