Focused on Python-based work in Data Science and AI, with coverage spanning data preparation, exploratory analysis, and scripting for repeatable analytical workflows. Core practice includes pandas and NumPy-style processing, machine-learning tasks, and model evaluation, alongside file handling and result visualisation for practical data studies.

Additional work involves Matlab and Simulink for numerical computing, simulation tasks, and basic dynamic-system or signal-oriented analysis.