Gonzalo is a Civil Engineer in Computer Science and has a Master's Degree in Computer Science from the Universidad del Bío-Bío, Concepción. His thesis consisted of the study of machine learning and deep learning algorithms and techniques on small sets of images. 

Representative projects:

Gonzalo is working on the digital transformation of GeoEstima, which includes, among other things, the transcription of ore dilution algorithms in Fortran into Python language, the development of algorithms for the analysis of block models and the search for technological improvements for our consultancy 

Work experience:

During his university years, he taught part-time at the Universidad del Bío-Bío, teaching courses such as Introduction to Programming and Computer Architecture. In addition, he has experience in the area of Data Analysis using tools such as Python, SQL, Power BI, Docker and GNU / Linux. 

Ratings and software:

Python (Pandas, Scikit-learn, Keras), SQL (Microsoft SQL Server, Postgres), Power BI, Docker and GNU/Linux.