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🥇 A project for analyzing Olympic medal data with R, combining TidyTuesday records and World Bank indicators to assess raw medal counts, efficiency metrics, and economic context. It generates diverse visualizations, performs regression and clustering, and reveals patterns in national Olympic performance.
An interactive Shiny app for multi-touch attribution (Markov) and a lightweight MMM-style ROI scenario simulator (MMM-lite)—with Diagnostics and Data Health checks to make results easier to trust and explain.
A Comprehensive data management and Health Equity Assessment and Analysis platform that fetches data from DHIS2, optimize, calculate, clean and visualize inequality data.
This project applies exploratory data analysis (EDA) as well data mining techniques to uncover insights into potential opportunities and trends within Walmart Inc. historical data.
enterprise data warehouse integrating disparate sales databases using star schema and dimensional modeling. Scalable ETL pipeline processes 18K+ transactions with automated BI reporting. Achieves 90% query performance improvement through strategic indexing and pre-computed aggregations. Production-ready with cloud deployment.