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Achievement: YOLOAchievement: QuickdrawAchievement: Pull Shark

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Amanda-Hansamali/README.md

Hey there, I'm Amanda!

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Welcome to my GitHub profile! I'm a passionate Software Developer, ML and Data Science Enthusiast, and lifelong learner. Let's create amazing things together! 💻🚀

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About me

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  • 🎓 BSc.(Hons) Computer Science | IIT x University of Westminster

  • 📚 An avid learner always looking to expand my knowledge in emerging technologies.

  • 🧑‍💻 Strong passion for problem-solving, Machine Learning, and Software Development.

  • 🤝 Open to collaborating on Software Development and ML projects.

  • 📝 Always looking for new challenges to grow and explore!

    If you think I’d be a good fit for a project or need help, don’t hesitate to reach out!

Technologies I have worked with

Technologies

Ballerina JavaFX NumPy OpenAI Pandas React Native RxJS Scikit-Learn

Tools

Android Studio Canva Figma Github Intellij IDEA Jupyter Notebook Postman PyCharm Visual Studio Code Swagger API Visual Studio Hasura Jira Google Colab Docker Azure DevOps Git GitHub Actions

Git GitHub Stats











Dashboard stats of @AmandaHanz

Let's Connect!

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Let's connect, collaborate, and explore the world of bits and bytes together! 👩‍💻👨‍💻

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  1. Event-Ticketing-System Event-Ticketing-System Public

    Real time event ticketing system designed and implemented to handle advanced producer-consumer pattern with multi threaded process and advanced synchronisation.

    Java 2

  2. Harvard-CS50 Harvard-CS50 Public

    22 projects related to Computer Science

    C 2

  3. Music-Mood-Recognizer Music-Mood-Recognizer Public

    A ML model which predicts the mood of a song based on its audio features, such as danceability, energy, valence, tempo, speechiness, and acousticness.

    Python 1 2

  4. LLM-Fine-Tuning LLM-Fine-Tuning Public

    LLM Fine-tuning: Enhancing Qwen 2.5 3B for AI Research QA

    Jupyter Notebook

  5. MolQ MolQ Public

    A web-based tool for simulating molecular interactions, focusing on molecular insights through classical simulations of energy

    TypeScript