I am an Artificial Intelligence and Data Science engineering student driven by a passion for solving complex organizational inefficiencies through code. While maintaining a strong academic foundation (9.57 CGPA), my primary focus is on hands-on development—transforming raw data into actionable insights and building practical software solutions. 

As an aspiring Data Scientist, I specialize in algorithmic problem-solving, database management, and designing dynamic platforms that improve operational transparency. I am constantly expanding my technical toolkit through global hackathons, specialized AI workshops, and professional certifications to engineer impactful, data-driven applications.

Core Languages:    

Data Science, Machine Learning & Statistics:  

Web & Version Control:  

*   Internship: Infosys Springboard Virtual Internship in Python Domain. *   Python GUI Banking Application: A comprehensive desktop application built with Tkinter for seamless user financial management. *   Hackathons: ET Hackathon and ISRO Hackathons. *   Certifications: Infosys Springboard Certified in Python Programming and Oracle Certification in Agentic AI Associate Foundation. *   Workshops: Completed advanced training in Generative AI, MongoDB and Prompt Engineering.

(Note: These statistics actively reflect both public repositories and private workflow contributions.)