Marius Jigmond

Geospatial Data & Software Engineer at Arturo

Marius Jigmond has a diverse work experience in the field of geospatial technology. Marius most recently worked as a Geospatial Software Engineer at Arturo since March 2023. Prior to that, they served as a Geospatial Data Scientist at Gro Intelligence from February 2022 to February 2023. Marius also worked as a Modeling Solutions Engineer at RMS from June 2019 to April 2022. Before that, they were a Modeler/GIS Specialist/Developer at INTERA Incorporated from January 2013 to June 2019. Marius also gained experience as a GIS Specialist at Texas Water Development Board from January 2008 to January 2013, where they were responsible for creating, updating, and maintaining various datasets and providing GIS support. Additionally, they worked as a GIS Analyst in freelancing roles from 2007 to 2013. Lastly, they had brief stints as a GIS Consultant at Windrose Geospatial and as a GIS Technician at Carto - Remote Sensing in 2007. Overall, Marius Jigmond possesses extensive experience in geospatial technology and has held various roles in different organizations.

Marius Jigmond's education history includes a Bachelor of Science degree in Geographic Information Science from Texas State University, which they attended from 2006 to 2007. Prior to that, they studied Computer Sciences at the Technical University of Cluj-Napoca from 1994 to 1998, although they did not obtain a degree in this field.

In addition to their formal education, Marius has obtained several certifications to enhance their skills and knowledge. Marius completed the "Scala Essential Training for Data Science" program offered by LinkedIn in September 2020. In June 2020, they completed the "Machine Learning with TensorFlow on Google Cloud Platform Specialization" course provided by Coursera. Earlier in February 2020, they finished the "How Google does Machine Learning" course also offered by Coursera. Additionally, they obtained the certifications in "Advanced SQL for Data Scientists" and "Advanced SQL for Query Tuning and Performance Optimization" from LinkedIn in January 2020. In the same month, they completed the "Google Cloud Platform Big Data and Machine Learning Fundamentals" course on Coursera.

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Timeline

  • Geospatial Data & Software Engineer

    February 1, 2023 - present

  • Geospatial Software Engineer

    March, 2023