Oscar is a Civil Computer Engineer and a Master's student in Computer Science from the University of Bío-Bío, Concepción. The subject of his thesis is: “Efficient calculation of map algebra on raster data stored in the compact data structures K2-raster and k3-tree”

Representative projects:

Since his arrival at GeoEstima, he has participated as support in the development of projects such as: mining planning, application of machine learning algorithms to geometallurgical and geochemical variables from the geochemical variables of composites. In addition to participating in different developments of scripts for Python such as: algorithm for the dilution of mineral grades through the geometric evaluation of block models; development of Python scripts that automate chart creation and validation of estimation results

In addition, Oscar has been involved in the implementation of cloud technologies such as Microsoft 365 for team communication and collaboration and Amazon Web Services to provide cloud computing services to our company.

Work experience:

He worked as a research assistant at the Universidad del Bío-Bío, on the topic "Implementing defined map algebra queries on stored raster data of the k2-raster compact data structure". He worked as a part-time professor at the Universidad del Bio-Bío, teaching the subjects Computer Architecture and Operating Systems as a professor and taught as a laboratory professor the subjects: Introduction to Programming, Data Structures, etc.

Ratings and software:

Python (Pandas, Scikit-learn, Keras), Java, C++, SQL (Postgres), and GNU/Linux.