Practical data science skills end-to-end.
Python
Pandas
Matplotlib
SeabornClean and explore a messy, real-world dataset. Produce meaningful visualizations, a short findings report, and a reproducible notebook. Good for storytelling and demonstrating analytical thinking.
Python
scikit-learn
PandasBuild a classification or regression model from end-to-end: strong preprocessing, feature engineering, model selection, hyperparameter tuning, and explainability. Ideal tasks: churn, credit risk, house prices.
Power BI VisualizationDesign an interactive dashboard that surfaces KPIs, trends, and root-cause insights. Great for business-facing storytelling — includes filters, drill-downs and exportable reports.