I am a Computer Science undergraduate at Anurag University. I enjoy problem-solving and coding. Always strive to bring 100% to the work I do. I have worked on technologies like Python, Java, C, Django, Flask, MySQL, HTML5, CSS, and JavaScript during my bachelor's. I also have knowledge of Data Structures & Algorithms and Object-Oriented Programming. I have completed a Full Stack Web Development internship which helped me strengthen my experience in Python, Flask, and Django. I am passionate about developing applications that solve real-world problems and continuously improving my skills to build scalable solutions.

• Languages: Python, Java, C
• Databases: MySQL
• Libraries: Pandas, NumPy, Matplotlib
• Frameworks: Django, Flask
• Web Technologies: HTML, CSS, JavaScript
• Tools & Technologies: Git, Streamlit, VS Code, MySQL Workbench

Looking for an opportunity to work in a challenging position combining my skills in Software Engineering, which provides professional development, interesting experiences and personal growth.

Experience

Instructo

Full Stack Web Development Intern

• Developed a full-stack e-commerce web application using Python and MySQL that allows users to browse products, add items to cart, and securely place orders through an interactive interface.
• Existing System: Traditional shopping systems often rely on manual processes or static websites with limited functionality and inefficient data handling.
• Proposed Solution: Designed a dynamic and scalable web application with user authentication, product management, and seamless frontend-backend integration.
• Key Features: User registration & login, product browsing, cart management, and order processing.
• Impact: Enhanced user experience by providing a secure and efficient online shopping platform with better data management.
• Designed and integrated a structured MySQL database to manage product details, users, and transactions efficiently.
• Tools & Technologies: Python, Django, SQL

Jan 2025 - Apr 2025

Projects

AI Resume Analyzer

An AI-based system that analyzes resumes and compares them with job descriptions.

Accomplishments

• Tools: Python, NLP
• Extracts skills and experience from resumes.
• Matches resumes with job descriptions.
• Identifies missing skills.
• Improves hiring efficiency.

Face Detection System

A system that detects and identifies human faces using computer vision.

Accomplishments

• Tools: Python
• Detects faces in real-time using image processing.
• Improves accuracy compared to manual identification.
• Processes images efficiently for faster detection.
• Useful in surveillance and recognition systems.

Nobel Prize Analysis

Analysis of Nobel Prize winners to identify trends in age, gender, and discipline.

Accomplishments

• Tools: Python, Pandas, NumPy, Matplotlib
• Analyzed historical dataset.
• Identified trends in age and gender.
• Used visualization techniques.
• Generated meaningful insights.