Developed and integrated a machine

Developed and integrated a machine learning system for geospatial mineral exploration analysis in collaboration with an industry partner. The system processes terrain and geological data to identify potential mineral deposits. The project involved building data pipelines to ingest and clean geospatial datasets, training machine learning models to recognize patterns associated with mineral deposits, and creating visualizations of the analysis results. Key features include automated geospatial data processing, machine learning model training and evaluation, integration with industry partner workflows, and visual output of exploration analysis results. The tech stack included Python for data processing and model development, SQL for data management, and machine learning libraries for predictive analysis.