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n-liyana/README.md

πŸ‘‹ Hi there! I'm Nuraini Liyana
A software engineer transitioning into data science and AI engineering, passionate about solving real-world problems with data-driven solutions.


πŸŽ“ Certifications

  • Certified Data Science Practitioner (DSP-210) - October 2024
  • Certified Artificial Intelligence Practitioner (AIP-210) - November 2024

πŸ› οΈ Technologies & Skills

  • Programming Languages: Python, R, Visual Basic, VB.NET
  • Data Analysis & Visualization: Power BI, Pandas, NumPy, Matplotlib, Seaborn
  • Machine Learning & AI: TensorFlow, Keras, Scikit-learn, PyTorch (learning)
  • Databases: MySQL, PostgreSQL, MongoDB
  • Platforms & Tools: Jupyter Notebook, Google Colab, Apache Spark (learning), MS Excel

🌱 I’m Currently Learning

  • Advanced deep learning techniques for automation and NLP applications.
  • Big data processing tools like Apache Spark to handle larger datasets effectively.
  • Predictive analytics and time-series modeling for real-world applications.

πŸ“‚ Featured Projects

  • Customer Churn Prediction: Developed a machine learning model to predict customer churn and identify actionable insights for retention. View Project
  • Sales Dashboard Analysis: Created an interactive Power BI dashboard for visualizing sales trends and identifying growth opportunities. View Project
  • Image Classification with CNNs: Built a deep learning model using TensorFlow for classifying images in the CIFAR-10 dataset. View Project

🌟 Open to Opportunities
I'm seeking roles in Data Science or AI Engineering where I can contribute to impactful projects, solve challenging problems, and grow with a dynamic team.
Feel free to reach out for collaborations, project discussions, or job opportunities!

🀝 Let's Connect

Popular repositories Loading

  1. n-liyana n-liyana Public

    Config files for my GitHub profile.

    1

  2. customer-churn-prediction customer-churn-prediction Public

    Predict customer churn using machine learning models with the Telco Customer Churn dataset. Includes EDA, feature engineering, and Random Forest classification.

    Python 1