Gold Mining & Geological Data Analysis

Analyzed gold exploration and mining datasets to investigate gold grade distribution, geological controls, and mineralized zones.

The project integrated four drillhole datasets: Collar, Survey, Geology, and Sample, followed by data cleaning, validation, exploration, and visualization.

The analysis focused on identifying high-grade intervals, comparing lithology and geological units with gold mineralization, and generating insights to support exploration targeting and mining decisions.

Tools used included Python, Pandas, NumPy, Plotly, Matplotlib, Excel, and Power BI.

The project also includes a Power BI dashboard, visual analysis, Jupyter Notebook, and final technical report.