Data science projects
Selected work from my training and self-study from exploratory analysis to predictive modeling.
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Sales Data Analysis
Cleaned a retail dataset with Pandas, then explored seasonal trends and top categories through grouped aggregations and charts.
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Customer Churn Prediction
Built a classification model to flag customers likely to churn feature prep, train/test split, and evaluation with Scikit-learn.
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Exploratory Data Dashboard
A Jupyter notebook that summarizes key metrics and correlations with clean Seaborn visualizations for quick insight.
Housing Price Regression
Predicted housing prices using linear regression, comparing features and validating with RMSE and R² scores.
Data Cleaning Pipeline
Reusable Pandas functions to handle missing data, outliers, and inconsistent formats across messy CSV files.
SQL Analytics Queries
A set of SQL queries answering business questions joins, aggregations, and window functions on a sample database.