Elga Putri

Frontend development project in collaboration with Accounting Laboratory of Universitas Muhammadiyah Malang. Developed interactive interfaces for transaction forms, journals, general ledger, trial balance, income statement, financial position report, and equity report. Contributed to UI redesign and user testing iterations.

Frontend development project for Informatics student community management and portfolio showcase system at Universitas Muhammadiyah Malang. Developed interactive interfaces for community features, member profiles, portfolio showcase, and other functionalities. Contributed to UI/UX process and re-engineering of UI elements to enhance user experience. Project completed as Informatics Lab Assistant candidate.

Full stack development project for personal finance management application with modern interface and transaction data analysis. Developed interactive interfaces for transaction management, spending statistics by category, data visualization, and category personalization. Contributed to data integration through Next.js API and Prisma.

Full stack development project for weather application with responsive interface and interactive data visualization. Features include real-time weather forecasting, efficient API data management, temperature and weather parameter chart visualization, and consistent responsive UI design. Integrated user interface and weather data through OpenWeather API.

UI/UX design project for weather application interface using Figma with clean and user-friendly design. Created two theme modes: light mode (bright and fresh for daytime) and dark mode (dark and comfortable for night/low light). Built consistent design system with reusable UI components including buttons, weather info cards, charts, and navigation.

UI/UX design project for Style Shop website with two main roles: Client and Admin. For Client, design focuses on intuitive shopping experience, easy product navigation, and simple fast checkout process. For Admin, efficient dashboard design with sales data display and product management. Built consistent design system using reusable components to maintain visual consistency and speed up development process.

Data analysis and machine learning project for flight ticket price prediction using Random Forest & XGBoost algorithms. Used Flight Price Prediction dataset containing 300,261 domestic flight booking entries from India (Feb-Mar 2022). Performed data cleaning, categorical feature encoding, and model evaluation with RMSE, MAE, and R² metrics. Presented prediction results through interactive Streamlit interface.

Full stack video conferencing application developed rapidly using Next.js 14, Stream SDK, and Tailwind CSS. Features include real-time video/audio communication, screen sharing capabilities, chat functionality, and responsive design. Demonstrates proficiency in modern web development, real-time communication APIs, and rapid prototyping skills.