Resume Details: Ivan D\'Ortenzio |
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Address : |
USA |
Email : |
ivandorte@gmail.com |
Web : |
http:// |
Phone : |
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Fax : |
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Willng to Relocation : |
Yes |
Desire Location: |
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Date Available : |
1-8-2018 |
Desire job Title:: |
Ivan D'Ortenzio - GIS Analyst |
Year of Experience: |
2 |
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Education : |
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Master’s degree in Geological Sciences and Technology • Università degli Studi di Siena, Italy
11/2012 • 12/2015
ERASMUS IP: Multi-Risk Assessment and Mitigation in Europe (MIRAME) 2nd edition • University of Aveiro, Portugal
JULY 2014
Bachelor’s degree in Environmental Sciences and Technology • Università degli Studi dell’Aquila
10/2008 • 10/2012 |
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GIS Skills : |
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ARCGIS, ARCPY, ARCGIS MODEL BUILDER, QGIS, POSTGIS, POSTGRESQL, SQL, SQLITE, SPATIALITE, AUTOCAD MAP 3D (BEGINNER), PYTHON, PYQT, MAPNIK, R, GDAL, GRASS GIS, MATLAB |
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Work Experience : |
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GIS Analyst • Centria Reti Gas, Estra S.p.A, Siena, Toscana, Italy
09/2015 • 09/2017
• Developed, operated, and maintained a GIS system (PostgreSQL and SQL Server) for natural gas and electric utilities. Implementation of Python, CLI and SQL scripts for data entry/modification.
• Implemented Python, CLI and SQL geoprocessing routines to automate GIS workflows, focusing on query
optimization (CTE) and the use of spatial indexes.
• Actively collaborated with the University of Florence for the development of the fluid dynamic model of
the company's gas networks and distribution facilities.
• Actively collaborated with other consultants and colleagues in the development of other projects.
• Implemented semi-automated workflows (Python, GDAL, Ghostscript) for the digitization of the plants
of gas networks and distribution facilities (PDF and Raster).
• Developed Python scripts for GAS meter geocoding/georeferentiation and positional accuracy assessment.
• Web Scraping of spatial and tabular data with Python.
• Conducted weather and climate data analysis using python and R.
GIS Analyst Intern • Centria Reti Gas, Estra S.p.A, Siena, Toscana, Italy
09/2014 • 08/2015
• Conducted geoelectric surveys focused on the studies of the electrical resistivity properties of the
geological outcrops found on company’s sites.
• Introduced to PostgreSQL, SQL Server, Geodatabases, ArcGIS and QGIS for GIS analysis, digitization,
edition, topology checking, map production and geomorphological studies. |
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