I am a Computer Science undergraduate with a strong foundation in full-stack development and machine learning.
I have hands-on experience building MERN stack applications and developing predictive models using Python and Scikit-learn.
I enjoy solving complex problems and have completed 500+ data structures and algorithms problems, which has strengthened my analytical thinking and algorithmic efficiency.
During my internship, I worked on optimizing Python scripts, improving execution efficiency, debugging programs, and using SQL for data retrieval and manipulation.
I am comfortable working across the web stack with JavaScript, React.js, Node.js, Express.js, HTML, CSS, and also with data-focused tools such as NumPy, Pandas, and Scikit-learn.
I am eager to contribute to real-world software and data-driven solutions in a collaborative environment where I can continue learning and growing as an engineer.
Optimized Python scripts to improve execution efficiency and reduce processing time. Analyzed existing code to identify performance bottlenecks and implemented optimizations. Debugged and tested Python programs to ensure correctness and reliability. Worked with SQL to query, retrieve, and manipulate data for application requirements.
B.Tech, Computer Science and Engineering
Computer Science undergraduate with CGPA 9.29, currently pursuing a B.Tech degree in Computer Science and Engineering.
Pre-University Course (PUC)
Completed Pre-University Course with CGPA 9.96.
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