About
Detail-oriented BCA student and aspiring Full Stack Developer with hands-on experience in Python, web development, and data handling. Proven ability to develop scalable full-stack applications and AI tools using modern technologies like React, Flask, Django, and Scikit-learn
Work
Bangalore, Karnataka, India
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Summary
Contributed to full-stack web development through an independent project-based internship, focusing on building robust and dynamic web applications.
Highlights
Developed a full CRUD blog platform using Flask, HTML, CSS, and SQLite, incorporating user authentication and comment functionalities.
Built responsive web applications with HTML, CSS, and JavaScript, ensuring cross-browser compatibility and dynamic user interfaces.
Managed and integrated SQL databases to handle dynamic data operations, enhancing application functionality and data persistence.
Skills
Programming Languages & Frameworks
Python, JavaScript, Java, SQL, HTML, CSS, Flask, Django, React, Next.js, Tailwind CSS.
Data Science & AI/ML
Scikit-learn, Pandas, OpenCV, TensorFlow, NLP, Nmap, OSINT APIs, ReportLab, Streamlit.
Databases
PostgreSQL, SQLite, MongoDB.
Developer Tools
Git, GitHub, VS Code.
Professional Skills
Teamwork, Problem Solving, Attention to Detail, Communication.
Projects
DataInsight Hub Pro – Interactive Data Visualization & Analytics Dashboard
Summary
Developed a dynamic data visualization and analytics dashboard using React.js, Chart.js, and Tailwind CSS. The project enables users to explore, filter, and analyze datasets with interactive charts, summary cards, and responsive UI components. Integrated real-time data interactions and smooth animations with Framer Motion to enhance user experience. Focused on clean, modular code architecture for scalability and performance.
Vision Review Recommend – AI-Powered Review Analysis & Recommendation System
Summary
Built an intelligent review analysis and product recommendation system using Python, NLP, and machine learning techniques. The system processes user reviews, extracts sentiment and key features, and recommends similar or better-rated products. Implemented with scikit-learn, pandas, and NLP libraries, the project showcases proficiency in text preprocessing, sentiment analysis, and predictive modeling. Designed for seamless user experience and scalable recommendation logic.
CyberScan Pro – Vulnerability Scanner & Network Security Toolkit
Summary
Developed a comprehensive Python-based cybersecurity tool for scanning and identifying system vulnerabilities and potential threats. Utilized libraries like socket, nmap, and scapy to perform port scanning, IP tracking, and vulnerability detection. The tool provides actionable security insights through a command-line interface, making it ideal for network administrators and penetration testers. Emphasized modular code design and real-time threat assessment.