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Achievement: YOLOAchievement: Pull Shark

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AlvindraRamadhan/README.md

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About Me

My Octocat

I am a Software Engineer and an active Information Systems student at Universitas Ahmad Dahlan, driven by a passion for building robust and scalable end-to-end solutions. My expertise spans across multiple domains, from creating intuitive mobile experiences to developing intelligent systems.

  • 📱 Mobile Development: I specialize in building cross-platform mobile applications using Flutter and Dart, leveraging Firebase for powerful backend services, as seen in projects like E-commerce_Ruang.

  • 💻 Web Development: I am proficient in the full JavaScript ecosystem, crafting responsive frontends with React & Next.js and building reliable backend APIs with Node.js.

  • 🤖 Machine Learning: I have a keen interest in AI and have hands-on experience developing end-to-end machine learning applications with Python, Scikit-learn, and Streamlit.

I am always seeking new challenges and opportunities to collaborate on projects that solve real-world problems and create impactful software.

💻 My Tech Stack

Mobile Development:
Flutter Dart

Full-Stack Web Development:
React Next.js Node.js JavaScript TypeScript TailwindCSS Vite

Machine Learning & AI:
Python Jupyter Scikit-learn Streamlit

Databases, Cloud & Tools:
Firebase Supabase Git Figma

📊 My GitHub Stats & Activity

Metrics

🎮 My Contribution Games

Pacman Contribution Graph
Snake Contribution Graph

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  1. analytica-landing-page analytica-landing-page Public

    A responsive landing page for a fictional analytics company, built with modern web technologies and deployed via GitHub Pages.

    JavaScript 4

  2. E-commerce_Ruang E-commerce_Ruang Public

    A mobile e-commerce application built with Flutter and Firebase. Currently in active development.

    Dart 5

  3. IndoKos IndoKos Public

    A Flutter-based application for finding boarding houses (Kost) in Indonesia.

    Dart 4

  4. prediksi-harga-rumah-streamlit prediksi-harga-rumah-streamlit Public

    Aplikasi web untuk memprediksi harga rumah di California menggunakan Scikit-learn dan Streamlit. Proyek machine learning end-to-end untuk pemula.

    Jupyter Notebook

  5. absen-smart-app absen-smart-app Public

    Smart attendance system built with Next.js 14, TypeScript, and Tailwind CSS. Features real-time clock, location-based validation, and modern minimalist UI design.

    TypeScript 1

  6. proyek-klasifikasi-iris proyek-klasifikasi-iris Public

    Aplikasi web machine learning sederhana untuk memprediksi spesies bunga Iris menggunakan Streamlit.

    Python