Kaan Kaya

This project is a mobile-first budgeting application designed to help users actively manage their personal finances through structured tracking and real-time insights. Built as part of a collaborative Agile team, the application focuses on usability, performance, and clear financial visibility.

The system allows users to record income and expenses across multiple categories, set budgets, and monitor spending behavior dynamically. The core logic was designed to handle categorized financial data efficiently, ensuring accurate aggregation and real-time updates across the app.

A key contribution was the development of modular tracking components that support flexible financial inputs while maintaining consistency in how data is processed and displayed. The application also includes an interactive dashboard that visualizes financial activity, helping users quickly understand their spending patterns without digging through raw data.

Extensive testing was conducted across multiple Android devices to identify performance bottlenecks and UI inconsistencies. This resulted in improved responsiveness, smoother navigation, and a more reliable user experience overall.

The project demonstrates strong fundamentals in mobile development, object-oriented design, and building user-centric systems that translate complex data into usable insights.

This is a fully responsive portfolio website built to present projects, technical skills, and experience in a clean and structured format. The focus of this project was not just design, but performance, scalability, and maintainability.

The application is built using Next.js, leveraging server-side rendering and optimized routing to improve load times and SEO performance. The UI is structured using reusable React components, allowing for consistent design patterns and easier future expansion.

A key focus was performance optimization: minimizing unnecessary re-renders, optimizing asset loading, and ensuring fast navigation across pages. The site adapts seamlessly across different screen sizes, maintaining usability and visual consistency on both mobile and desktop.

The project also emphasizes clean architecture and component reusability, making it easy to scale as new projects and features are added over time.

This is not just a portfolio. It is a demonstration of front-end engineering practices, performance awareness, and attention to user experience.

This project is a data-driven application designed to analyze housing affordability across different regions in Canada using structured datasets. The goal was to turn raw housing and income data into something users can actually query and make sense of.

The backend system was built in Java, with MySQL used to manage and query large datasets efficiently. A major focus was optimizing SQL queries to handle filtering across multiple variables such as income levels, geographic regions, and housing types without performance degradation.

The application supports dynamic search functionality, allowing users to apply multiple filters simultaneously and retrieve relevant results quickly. This required careful design of query logic and indexing strategies to maintain responsiveness even as dataset size increases.

The project highlights strengths in backend development, database design, and working with real-world data constraints. It shows the ability to build systems that are not just functional, but scalable and efficient under realistic data loads.