Graduate Computational Engineer (MSc), with skills in scientific computing, finite element analysis (1), optimization, data science and data analysis (2) using Python and Fortran.

1. FEA/CAE: Abaqus, Nastran, LS-Dyna, Pam Crash, HyperMesh, ANSA, SimLab
2. Data Science: Design of Experiments, development of Metamodel of Optimal Prognosis, Regression and Correlation analysis, Sensitivity analysis.
3. Python: numpy, scipy, pandas, matplotlib
4. Fortran 90/95