Python-based computational simulation and process/CFD modeling projects (coursework + personal projects) for energy systems and physics behavior.
Built Python-based simulation tools that generate labeled/structured outputs for engineering system modeling using numerical methods. These projects involved implementing and validating computational workflows that effectively “train” or calibrate models through code-driven parameter control and visualization. Work products served as synthetic data inputs/outputs for downstream analysis and evaluation in computational simulation contexts. • Developed a Python simulation tool integrating NumPy and SciPy with dynamic mass & energy balance equations. • Implemented real-time parameter control across 50+ variable configurations with live Matplotlib visualization. • Applied CFD and thermodynamics-related numerical approaches (e.g., FDM/FVM/SIMPLE as coursework context) to produce structured simulation outputs. • Created ODE-based physics simulations (e.g., projectile motion, harmonic oscillators, heat conduction) using RK4/Euler solvers for interactive modeling and feedback.