Charmain Echinebir

Performed regression analysis and hypothesis testing on real datasets using R and Microsoft Excel. Created data visualisations to communicate trends and support conclusions with statistical evidence. Focused on breaking down analytical problems, ensuring correct statistical interpretation, and presenting results in a clear, structured technical format.

Built numerical models in MATLAB and Python to simulate hydromagnetic casson nanofluid flow using partial differential equations. Designed and ran simulations to test system response under changes in key parameters and compared results through stress-style checks. Analysed over 10,000 simulation data points to verify model accuracy and identify critical trends. Applied statistical methods to validate results and presented findings using clear charts and technical reporting, alongside optimization techniques to improve model efficiency and reliability.