End-to-end reporting data warehouse project transforming global TB burden data into a PostgreSQL star schema with validated ETL layers, performance indexes, and analytical reporting views supporting country trend analysis and regional health insights.
An end-to-end time series forecasting project analyzing major technology stocks. Compares volatility, trend behavior, and forecast accuracy across assets using consistent modeling frameworks. Demonstrates practical financial forecasting, evaluation, and deployment-ready design.
Predict the median house value (MEDV) in Boston suburbs based on multiple explanatory variables such as crime rate, property tax, and number of rooms per dwelling.
An end-to-end unsupervised learning project demonstrating clustering, PCA, and model evaluation on the Iris dataset using real-world, label-free assumptions.