Ernesto Oquelis

Using Machine Learning algorithms to predict component degradation and failure using ESN and LSTM models with TensorFlow.

Performing measurements on ASIC modules to gather data from stress experiments. Developing Machine Learning module and scripts for the processing and evaluation of data with Scikit-learn, Numpy and Pandas.

Implementing Machine Learning algorithms (Support Vector Regression, Random Forest Regressor) on Python. Developing a Machine Learning module to perform regression on FE damage simulation data sets with Scikit-learn.

Tracking and report of Costs, Scheduling, Purchases and Progress report of a portfolio of more than 40 EPC projects at the LNG processing plant of Pampa Melchorita using MS Project. Part of the Project Management team responsible for small and medium size projects. Coordination with suppliers and other branches of the company overseas.

Mathematics, Finite Element Methods, Mechanical Modelling, Continuum Mechanics, Machine Learning: Supervised Methods.

Material Science, Automatic Control, Mechanical Design, Electricity, Electronics, Energy and Humanities.