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apih99/README.md

💫 About Me:

👋 Hi there! I'm Muhammad Shahrul Hafiz, a passionate and driven individual with a strong interest in the intersection of data science and programming. Currently pursuing a Bachelor's degree in Operational Research and Data Science at the National Defence University of Malaysia (UPNM), I'm eager to contribute to the tech community and explore the boundless possibilities of these fields.

🔬 Data Science & Analytics:
I have a solid foundation in data science techniques, having worked with tools like Scikit-learn, TensorFlow, PyTorch, and XGBoost. I'm proficient in data manipulation and visualization using Pandas, Numpy, Matplotlib, and Seaborn. My experience includes:

* Developing predictive models for medical inventory management using machine learning to forecast demand.
* Building a traffic congestion prediction system using fuzzy logic.
* Creating a Formula 1 race analytics dashboard using Streamlit and FastFI for comprehensive data analysis and visualization.
* Hands-on experience in mathematical modeling, statistical analysis, and regression analysis.

💻 Programming Prowess:
I'm comfortable with a range of programming languages, including Python, R, Java, and web technologies such as HTML, CSS, and JavaScript. I have hands-on experience in building various applications such as:
* A real-time face detection attendance system using Python and OpenCV.
* Online platforms for university e-voting and academic discussions using PHP and MySQL.

🏆 Achievements & Contributions:

I'm proud of my achievements, including:

* Multiple Gold Awards for innovation at UPNM's teaching and defense exhibitions.
* A recipient of the Skim Pelajar Cemerlang Scholarship.
* Recognized as a top coder in university coding challenges.
* Being a Dean's List recipient for multiple semesters, which shows dedication to academic work.

🤝 Open Source & Community:

I'm a firm believer in the power of collaborative development and want to actively contribute to open-source projects, particularly in areas related to data science, machine learning, and algorithm development. I'm excited to learn, grow, and connect with fellow developers in the community.

🌱 What's Next?
I'm always eager to learn new technologies and challenge myself. I'm actively seeking opportunities to enhance my skills and contribute to innovative projects. Feel free to reach out if you're interested in collaborating or just want to connect!

Let's build something amazing together! ✨

🌐 Socials:

Facebook Instagram LinkedIn X

💻 Tech Stack:

LaTeX Dart Go Java HTML5 JavaScript Markdown R Python PHP Rust TypeScript Zig Bash Script Windows Terminal AWS Azure Google Cloud Vercel Render Flask Flutter Laravel NPM Next JS NodeJS OpenCV React React Native Vue.js Vite Bootstrap Apache Spark Apache Nginx Firebase MariaDB MySQL MongoDB Supabase SQLite Postgres Adobe Lightroom Canva Keras Matplotlib NumPy Pandas Plotly PyTorch scikit-learn Scipy TensorFlow Git GitHub Arduino Power Bi

📊 GitHub Stats:



✍️ Random Dev Quote


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  1. Face_Recognition_Attendance Face_Recognition_Attendance Public

    Smart Attendance System is a modern web-based application that automates the traditional attendance tracking process using artificial intelligence and facial recognition technology. This innovative…

    JavaScript

  2. Formula1_DataDashboard Formula1_DataDashboard Public

    A comprehensive Formula 1 data analysis and visualization platform built with Streamlit and FastF1.

    Python

  3. HeartDiseasePrediction HeartDiseasePrediction Public

    This interactive application helps you understand and predict your 10-year risk of coronary heart disease (CHD) using advanced machine learning techniques. Let's embark on a journey to better heart…

    Python

  4. university_e-voting_system university_e-voting_system Public

    A comprehensive online platform for managing university student council elections with robust security and user-friendly features.

    Python