• Built machine learning models using scikit-learn to optimize resource allocation for electrical asset maintenance, improving operational efficiency and directly influencing budget decisions.
• Enhanced Alteryx ETL workflows by writing custom Python scripts to handle complex data. transformations, achieving a 50% reduction in report processing time and clearing 80% of backlog.
• Designed Tableau dashboards to consolidate team data, enabling real-time progress tracking.
• Conducted statistical analysis using Python and SQL to uncover insights for asset management.

• Optimized convolutional neural networks (CNNs) model for predicting laser power and speed conditions, achieving 95% accuracy in industrial simulation settings.
• Developed interactive GUIs to visualize and analyze laser image datasets, enabling reseachers to explore thermographic data trends and perform customized analyses