Amanda Iglesias Moreno

Aptitudes: Python, Power BI, Pandas, Data Collection, Data Processing, Machine Learning, Data Visualization

• Supported the 3D - measuring process and postprocessing evaluations of compressor blades with GOM • Developed the code in Python

• Further developed the coupling between two computational codes (ATHLET and OpenFOAM) • Implemented a new coupling algorithm using Python to facilitate convergence of the simulations. • Verified the implementation of the new algorithm with 3 different models. • Cooperated in an article for a scientific conference

• Conducted image processing in Matlab for the calibration of an optical spectrometer using a mercury-argon lamp. • Implemented a pixel-to-wavelength calibration routine based on the recognition of spectral lines. • Implemented tracking techniques for the relative movement of objects via the image processing toolbox • Conducted a camera calibration to reduce the effects of lens distortion from images using the Camera Calibration app in Matlab.

• Investigated the adsoption of pharmaceuticals by means of activated carbon • Gained position based on a scholarship (Beca Colaboración)

Grade: 9.5/10 Aptitudes: Python, Tableau, Machine Learning, Natural Lenguage Processing, R, Deep Learning, Bash

Grade: 1.8 Studies conducted in English and German

Grade: 8.0/10 Double Master’s Degree with Technische Universität München

Grade: 8.1/10 Bachelor’s Thesis at the Combustion Engine Department Title:”Development of an emulator in real-time of a diesel engine”