About
Motivated Information Science graduate with strong proficiency in Python programming, web development, and database management. Hands-on experience building full-stack web applications and AI-based recommendation systems, with a focus on integrating relational databases, through academic and self-initiated projects. Quick learner with a problem-solving mindset, seeking an opportunity to contribute to scalable, high-quality software solutions. Familiar with Agile practices, version control (Git/GitHub), and writing clean, maintainable code.
Skills & Expertise (16)
Work Experience
Python Full Stack Development Intern
Pentagon Space
Jan 2026 - Present
Completed hands-on training in Python Full Stack Development, gaining practical experience in Django, React.js, MySQL, HTML, CSS, JavaScript, and Git. Developed responsive, database-driven web applications using Django for backend development and React.js for building interactive user interfaces. Applied software development best practices, including version control, debugging, and problem-solving, while working on real-world projects. Strengthened communication, teamwork, and collaboration skills through project-based learning, technical discussions, and presentations.
Education
Bachelor of Engineering – Information Science & Engineering - Jawaharlal Nehru National College of Engineering
2022 - 2026 · India
Certifications
Computational Theory: Language Principle
Infosys Springboard · 2025
The Computational Theory: Language Principle certification focuses on the theoretical aspects of computer science, particularly automata theory and formal languages. It introduces learners to finite automata, pushdown automata, Turing machines, and grammar principles, explaining how languages are recognized and parsed. These concepts are essential for compiler design, advanced programming, and research in computer science. By completing this certification, learners demonstrate their ability to understand the mathematical and logical foundations of computation, which is valuable for higher studies and specialized technical roles.
Data Structures & Algorithms in Python
Infosys Springboard · 2024
The Infosys Springboard certification in Data Structures & Algorithms in Python is designed to strengthen programming and problem-solving skills using Python. It covers fundamental data structures such as arrays, linked lists, stacks, queues, trees, and graphs, along with key algorithms like searching, sorting, and recursion. Learners gain practical knowledge of implementing these concepts in Python while also understanding time and space complexity, which is crucial for writing efficient code. The certification helps students and professionals build a strong foundation for software engineering roles and competitive programming.
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Skills (16)
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