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karindaamelia /README.md

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πŸ‘‹ Hi there, I'm Karinda Amelia!

Portfolio LinkedIn GitHub Kaggle Email

πŸš€ 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

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

πŸ› οΈ 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

πŸ“ˆ Most Used Languages on GitHub

Top Languages

πŸ“« 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 2

  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

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