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1. FarmGuard--Mushroom--Safety-Classifier FarmGuard--Mushroom--Safety-Classifier Public

   Using the Kaggle mushroom dataset, I trained and compared two models (Random Forest and Naive Bayes). The system was set to catch almost every poisonous mushroom and route low-confidence cases to a…

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2. RealTime-TeamFit-Recommender RealTime-TeamFit-Recommender Public

   In development: SystemFit is a real-time recommender that ranks players, coaches, and staff for club fit using live match data, with a deployed web app and explainable scores.

3. SmartChurn SmartChurn Public

   This project uses machine learning to predict which bank customers are likely to churn (leave). It showcases a complete data-science workflow — from exploratory analysis and preprocessing to model …

   Jupyter Notebook

4. Customer-JourneyConsole Customer-JourneyConsole Public

   A product data science project analyzing user behavior through activation, engagement, funnel performance, retention, and churn modeling. Built with Python, SQL, scikit-learn, Plotly, and Streamlit…

5. WineMap_AI WineMap_AI Public

   WineMap_AI uses unsupervised machine learning to group wines by their chemical properties. The project applies clustering methods and PCA visualizations to uncover natural wine segments that help w…

   Jupyter Notebook