Graduate Computational Engineer (MSc), with skills in scientific computing, finite element analysis (1), optimization, data science and data analysis (2) using Python and Fortran.
- FEA/CAE: Abaqus, Nastran, LS-Dyna, Pam Crash, HyperMesh, ANSA, SimLab
- Data Science: Design of Experiments, development of Metamodel of Optimal Prognosis, Regression and Correlation analysis, Sensitivity analysis.
- Python: numpy, scipy, pandas, matplotlib
- Fortran 90/95
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