Pokémon Data Analytics Dashboard

An end-to-end data storytelling project was built, analyzing Pokémon across types through Python-based machine learning and an interactive Power BI dashboard covering type distribution, stat clustering, and battle matchups.

Raw data was cleaned and engineered. K-Means Clustering was used to segment Pokémon by battle stats, revealing distinct performance groups dominated by specific types. Findings were presented across a 4-page interactive dashboard (Type Distribution, Cluster, Collection, Battle) .

Tools: Python (Pandas, NumPy, scikit-learn, Regex), Power BI

:This is a self created portfolio demonstrating my Excel data management and analysis skills. I can work with various Excel features including data entry, data formatting, data validation,formulas, sum if/sum ifs conditional formatting, consolidation and reporting. This samples demonstrates my ability to turn raw data into clean, organised, and useful information.