Project Portfolio
Recent Project Posts
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Analyzing Monthly DVD Sales Trends with PostgreSQL
Read more: Analyzing Monthly DVD Sales Trends with PostgreSQLProject Summary This project uses the sample data that is designed for PostgreSQL. The data has many tables for areas such as customers, rental times, sales, and store numbers. I utilized this robust dataset to map the number of sales per month from all of the stores, providing valuable insights into sales trends. By analyzing…
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Building My Application Dashboard: From Figma to Full Stack with Spring Boot and Angular
Read more: Building My Application Dashboard: From Figma to Full Stack with Spring Boot and AngularThis project focuses on creating a Spring Boot Application Dashboard that consolidates job application data. Utilizing Java, Angular, and MySQL, it aims for a responsive and professional UI. The development process involved designing in Figma, implementing backend logic, and overcoming challenges like routing to ensure seamless frontend and backend integration.
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Java library console project
Read more: Java library console projectThe project focuses on improving skills in Object Oriented Programming, Java, Maven, and Git. Key components include creating model classes like Author.java, which define entities, and service classes like AuthorService.java, which provide methods for functionality. Plans for future enhancements include a BookService and LibraryService for better management and operations.
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Enhancing Python Skills with a Book Manager Project
Read more: Enhancing Python Skills with a Book Manager ProjectThe project is a Python GUI Book Manager aimed at enhancing skills in Python, OOP, and GUIs. It utilizes a JSON file for book data and features a search bar for titles and authors. Challenges included fixing a search functionality issue. Future plans involve implementing an API for automated book additions.
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Exploring Star Colors: Temperature and Radius Analysis
Read more: Exploring Star Colors: Temperature and Radius AnalysisThis project visually analyzes the connection between star temperature and radius using Python, Numpy, Pandas, and Matplotlib. The outcome is a scatter plot highlighting color-related temperature trends among stars. The dataset was parsed from a CSV, and results indicate that star size and color generally cluster together, with some outliers present.