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karindaamelia/README.md

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👋 Hi there, I'm Karinda Amelia!

Portfolio LinkedIn GitHub Kaggle Email

🚀 About Me

I’m a data professional specializing in Data Analysis and Business Intelligence, with a strong focus on turning complex data into clear, actionable insights that drive strategic decision-making.

With a background in Informatics Engineering, I combine analytical precision, business acumen, and technical expertise to deliver end-to-end data solutions from exploratory analysis and interactive BI dashboards to automated reporting systems.

My capabilities are further enhanced by growing experience in AI and Machine Learning, which I leverage to strengthen predictive analytics and build smarter, insight-driven solutions.

🎯 What I Do

  • 📊 Data Analysis & Insights: Extract meaningful patterns and trends from complex datasets using statistical methods and advanced visualization techniques
  • 📈 Business Intelligence: Design and develop interactive dashboards, KPI monitoring systems, and comprehensive reporting solutions
  • 🔍 Statistical Analysis: Apply statistical methods for data-driven decision making
  • 🤖 ML-Powered Analytics: Integrate machine learning algorithms to create predictive and prescriptive solutions that drive business value

🛠️ Tech Stack

Python MySQL MariaDB Excel Power BI Tableau Google Sheets Pandas NumPy Matplotlib Seaborn scikit-learn TensorFlow Keras

HTML5 CSS3 JavaScript SASS Bootstrap TailwindCSS React Node.js Java Git GitHub

📈 Most Used Languages on GitHub

Top Languages

📫 Connect With Me

Feel free to reach out or explore more about my work:

Portfolio LinkedIn GitHub Kaggle Email

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  1. Portfolio-Karinda Portfolio-Karinda Public

    A personal portfolio highlighting my experience, key projects, and technical skills.

    HTML 1

  2. Clustering_KMeans_KMedoids_Silhouette_Coefficient Clustering_KMeans_KMedoids_Silhouette_Coefficient Public

    A web-based clustering application developed for my undergraduate thesis, utilizing K-Means and K-Medoids algorithms with Silhouette Coefficient optimization. Features include CSV input, explorator…

    Python 1

  3. Student-Dropout-Prediction-System-ML-Powered-Analytics-and-Early-Intervention-Dashboard Student-Dropout-Prediction-System-ML-Powered-Analytics-and-Early-Intervention-Dashboard Public

    Developed a predictive analytics system to identify student dropout risk using ML models (Random Forest, Logistic Regression, AdaBoost, LDA, QDA) with GridSearchCV tuning. Built interactive dashboa…

    Jupyter Notebook 1

  4. Predictive-Analytics-for-Customer-Churn-A-Telecommunications-Industry-SMOTEENN-and-Hyperparameter Predictive-Analytics-for-Customer-Churn-A-Telecommunications-Industry-SMOTEENN-and-Hyperparameter Public

    Developed a machine learning model to predict customer churn in the telecom industry. The project involved EDA, handling class imbalance with SMOTEENN, and applying 10 classification algorithms, su…

    Jupyter Notebook 1

  5. Strategic-HR-Analytics-Machine-Learning-and-Dashboard-Solutions-for-Employee-Retention Strategic-HR-Analytics-Machine-Learning-and-Dashboard-Solutions-for-Employee-Retention Public

    Built an ML-based HR analytics solution to predict employee turnover. Used SMOTEENN and models like Random Forest, SVM, Logistic Regression, KNN, among others. Optimized with GridSearchCV and Rando…

    Jupyter Notebook 1

  6. Movie-Recommendation-System-Using-Machine-Learning-Content-Based-and-Collaborative-Filtering Movie-Recommendation-System-Using-Machine-Learning-Content-Based-and-Collaborative-Filtering Public

    Built a movie recommendation system using content-based filtering (TF-IDF & cosine similarity) and collaborative filtering based on user preferences.

    Jupyter Notebook 1