● Designed and implemented Artificial Neural Networks (ANN) in Python using Keras and TensorFlow. Focused on calculating core losses in ferrite core inductive components.● Conducted comprehensive data preprocessing, including cleaning, refining, and optimizing datasets. Utilized Seaborn, SciPy, Matplotlib, Pandas, and NumPy for data visualization and post-processing analyses.● Employed advanced hyperparameter tuning techniques and optimization strategies to enhance model performance and accuracy.● Conducted comparative analyses with established Finite Element Method (FEM) approaches, performing extensive parameter studies to determine optimal network structures.● Authored detailed documentation and comprehensive reports, encompassing complex data analysis, modeling methodologies, and research findings.

● Implemented the Total Productive Maintenance (TPM) philosophy on critical machinery, including burners, vehicle beds, paint ovens, and control units, within the car paint shop at the factory.● Conducted daily inspections and maintenance routines on machinery, while providing comprehensive TPM training to workers across different sectors of the paint shop.● Revamped control panel interface manuals and labels for various machines to enhance clarity and efficiency.● Achieved a notable 15% improvement in overall shop performance, attributed to reduced unplanned downtime, fewer breakdowns, improved machine handling procedures, and enhanced safety protocols resulting in zero accidents.