Carlos J Saez

· Improving propensity models for banking clients by optimising the use of PySpark, Dask, XGBoost and Tensorflow 2 running on on-premise clusters · Working on Deep Learning applications (from regular NNs to Graph NNs and RL) to leverage offering in banking problems

· Development and management of technological solutions related to Data Science and Business Intelligence in utilities, consumer goods and public services fields · Analytical mindset required in order to properly analyse clients’ processes and how data management can be applied to them · Quantitative Analysis skills developed (Machine Learning, Deep Learning, etc.) · Client orientation and adaptability required in a fast-paced environment

· Analysis of different energy technologies which can be applied on private houses to increase efficiency, decrease of energy wastes and the leveraging of local resources. · Installation of photovoltaic panels for electricity and solar collectors for water heating at private households. Design of the full installation and financial calculations. · Sponsored by Santander Bank after an arduous selection process.

BSc Industrial Engineering + Master in Renewable Energy Engineering