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Achievements

Achievement: YOLOAchievement: QuickdrawAchievement: Pull Shark

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AmandaHanz/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! 💻🚀

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 React Native RxJS Scikit-Learn

Tools

Android Studio Canva Figma Github Intellij IDEA Jupyter Notebook Postman PyCharm Visual Studio Code Swagger API

Git GitHub Stats

Dashboard stats of @AmandaHanz Pull-requests merged ratio of pingcap [Overview] pull-requests of pingcap

🔝 Top Contributed Repo

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. Harvard-CS50 Harvard-CS50 Public

    22 projects related to Computer Science

    C

  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

  4. Intellihack_CypherZ_Task03 Intellihack_CypherZ_Task03 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