Gabriel Garcia R.

Gabriel Garcia R. has extensive work experience in the field of data analysis and geology. Gabriel is currently working as a Data Analyst at DarkVision Technologies Inc. since November 2021. Prior to this, they worked as an Associate Machine Learning Developer at AltaML from October to November 2021.

Gabriel has also worked at Schlumberger for several years, where they held various roles. From 2017 to 2020, they worked as a Data Analyst and Borehole Geology Specialist, processing and interpreting geologic and petrophysics well logs for oil operators. Gabriel developed python scripts for data analytics, improved processing and interpretation workflows, and applied deep learning techniques for geological depositional environment interpretations. Additionally, from 2018 to 2018, they worked as a Data Analyst and Borehole Geology Specialist again.

From 2013 to 2016, Gabriel worked at Schlumberger as a Data Analyst and Borehole Geology Specialist / Micro-Seismic Geophysicist. Gabriel analyzed and interpreted well logs for oil sands and shale gas reservoirs in Canada, and contributed to the development of new imaging tools and improved workflows. Gabriel also worked as a Geomodeller from 2012 to 2013, and as a Data Log Analyst Petrophysicist from 2011 to 2013, where they focused on well logs processing and interpretation, including nuclear magnetic resonance and borehole images analysis. From 2008 to 2013, Gabriel worked as a Data Log Analyst Geologist, specializing in borehole image logs interpretation and quality control.

Before joining Schlumberger, Gabriel worked at Rotenco, S.A. de C.V. as a Mud Logger from 2008 to 2008. Gabriel conducted lithological analysis and geological interpretations of drilling cuts for exploration wells in Mexico.

Overall, Gabriel Garcia R. has a strong background in data analysis, geology, and geological interpretation, with experience in various roles and companies.

Gabriel Garcia R. completed their Bachelor of Engineering (BE) in Geoscience Engineer Reservoir Characterization from Technology Jobs Careers. Gabriel attended this institution from 2001 to 2007.

In 2020, Gabriel pursued further education and obtained a MicroMaster in Statistics and Data Science from the Massachusetts Institute of Technology. Gabriel completed this program in 2021.

In addition to their degrees, Gabriel also holds several certifications. Gabriel earned the edX Verified Certificate for Machine Learning with Python-From Linear Models to Deep Learning, the edX Verified Certificate for Probability - The Science of Uncertainty and Data, and the 18.6501x: Fundamentals of Statistics certification from MITx on edX. All three of these certifications were obtained in November 2020.

Furthermore, Gabriel obtained the Introduction to Deep Learning & Neural Networks with Keras certification from Coursera in July 2020. Gabriel also completed the Machine Learning with Apache Spark and Machine Learning with Python courses on Coursera in July 2020. In April 2020, they earned the Learn C++ Programming -Beginner to Advance- Deep Dive in C++ certification from Udemy.

Most recently, in September 2021, Gabriel obtained the edX Verified Certificate for Data Analysis in Social Science-Assessing Your Knowledge.