Umar Ekele Ahmed

AI Engineer (Geospatial Data Engineer) at MOTOR Ai

Umar Ekele Ahmed has a diverse work experience in the field of geospatial data analysis and engineering. Umar Ekele is currently employed at MOTOR Ai as an AI Engineer (Geospatial Data Engineer) since November 2022. Prior to this, they worked at MOTOR Ai as a Data & Knowledge Engineer - Mapping from March 2022 to October 2022.

Before joining MOTOR Ai, Umar worked at Pmp Architekten as a GIS Data Engineer from April 2020 to March 2022. Umar Ekele also gained experience as a Geospatial Data Analyst at Reiner Lemoine Institut gGmbH from November 2020 to February 2021.

Earlier in their career, Umar worked at the National Directorate of Employment as an SPW - (GIS) from August 2018 to April 2019. Umar Ekele started their professional journey as a Trainee at NAGIS from May 2015 to July 2017.

Overall, Umar Ekele Ahmed has consistently worked in roles related to geospatial data analysis and engineering, showcasing their expertise in this field.

Umar Ekele Ahmed is currently pursuing a Master's degree in Remote Sensing, Geoinformation, and Visualization at the University of Potsdam, with an expected completion date in 2023. Prior to this, they obtained a Bachelor of Science (B.Sc.) in Geography from Obafemi Awolowo University.

In addition to their academic qualifications, Umar has also earned several certifications. In 2012, they became a Certified Google Map Maker through Google. In 2011, they completed a Geographic Information Systems (GIS) course at Circumtrio Digital Consult. Umar expanded their skillset further in 2019 by completing the MATLAB Onramp program offered by MathWorks. Most recently, in 2022, they successfully completed the Google Africa Developer Training Program offered by Google Developers, specializing in Google Cloud.

Based on the information provided, Umar Ekele Ahmed has a strong educational background in geography and is currently focusing on remote sensing, geoinformation, and visualization. Their additional certifications demonstrate their expertise in mapping technologies and software tools like GIS and MATLAB, as well as their proficiency in utilizing Google Cloud for development purposes.

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Timeline

  • AI Engineer (Geospatial Data Engineer)

    November, 2022 - present

  • Data & Knowledge Engineer - Mapping

    March, 2022