Adham Youssef
Website Fixes & Python Automation | Fast Delivery
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DataFlow is a self-initiated Python automation tool designed to clean, analyze, and transform messy Excel and CSV files into structured, usable reports.
It detects duplicates, missing values, empty rows and columns, and common formatting issues while preserving the original source file. The project includes a Windows desktop application, automated Excel report generation, and an interactive browser-based CSV cleaning demo.
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A self-initiated Python desktop automation tool designed to automatically organize cluttered folders into categorized file groups. The application includes a dry-run preview, duplicate-safe file handling, no-overwrite protection, clear status reporting, and a Windows desktop interface built with Tkinter.
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A self-initiated front-end debugging case study focused on identifying and fixing real-world HTML, CSS, JavaScript, responsive design, and form-validation issues.
I created separate broken and fixed versions of the same coffee-shop website and resolved 10 common front-end problems, including mobile navigation issues, responsive overflow, broken CTA interactions, tablet card overlap, inconsistent image sizing, form validation errors, FAQ accordion bugs, footer responsiveness, JavaScript runtime errors, and inconsistent spacing across breakpoints.
The final version was tested across desktop, tablet, and mobile screen sizes to ensure stable behavior, responsive layouts, and working interactions.
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A self-initiated concept project for a modern SaaS productivity platform. I built a fully responsive landing page using HTML, CSS, and vanilla JavaScript, featuring interactive navigation, pricing sections, testimonials, FAQ interactions, and mobile-friendly layouts. The project was designed to deliver a clean, polished user experience across desktop, tablet, and mobile devices.
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