Python for Engineering and Research

I develop practical Python tools and tutorials for engineering data analysis, scientific visualization, signal processing, machine learning, and research automation. The projects combine fundamental Python concepts with realistic engineering applications, including CSV/Excel processing, FFT and frequency-domain analysis, publication-quality plotting, experimental-data comparison, and automated research workflows.