Ariel Aizemberg is a university professor and seasoned GIS/Data Visualization specialist with 13+ years bridging academia and industry across Argentina. He designs and teaches courses in Information Visualization, Data Mining and Spatial Databases while delivering practical GIS and web-mapping solutions for government, media and research institutions. His toolkit spans d3.js, Processing, R, Python, PostGIS/GDAL/QGIS and cloud deployments on AWS, reflecting a rare blend of hands-on development and spatial data theory. He has led national-scale projects—from an interactive Argentine atlas to agro-information systems—and advised international organizations on spatial SQL and mapping best practices. Known for turning complex spatial analyses into clear visual narratives, he also brings early experience in decision models and neurophysiological signal systems that inform his analytic perspective. Based in Argentina, he balances academic research, consulting and developer work to push usable, open-source spatial tools into production.
13 years of coding experience
7 years of employment as a software developer
Técnico en Computación, Computer Science, Técnico en Computación, Computer Science at Escuela Técnica O.R.T.
Lic. en Ciencias de la Computación, Artificial Intelligence, Lic. en Ciencias de la Computación, Artificial Intelligence at Universidad de Buenos Aires
Contributions:595 commits, 600 pushes, 2 branches in 6 years 2 months
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