Data Analysis, Web Development, QA and Security Testing

The proposed “Data Analysis, Web Development, QA and Security Testing” study focuses on the practical implementation of data analysis techniques, web application development, software quality assurance, and security testing methodologies using modern tools and technologies. The work involves data cleaning, processing and visualization using Python libraries such as NumPy, Pandas, Matplotlib, Seaborn and Plotly for generating meaningful analytical insights and graphical representations from datasets. The study also includes the development of web-based applications and dashboard solutions using Django, along with frontend technologies such as HTML, CSS, JavaScript, Bootstrap, React, and Tailwind CSS. Various web development activities including dashboard creation, website monitoring functionalities, responsive user interface design, and API integration were performed to understand modern application development practices and improve user interaction. In addition, QA and security testing activities were carried out to evaluate application functionality, reliability, and security. Various testing techniques including API testing, authorization testing, JWT validation, RBAC testing, and vulnerability assessment were performed using Burp Suite and OWASP Zed Attack Proxy (ZAP). The proposed study provides practical understanding of modern software development, testing methodologies, and cybersecurity practices while improving software quality, performance, and security.