Greater Oslo Region
GIS skills: - PhD in GIS and remote sensing. - Spatial modeling, spatial analysis, spatial statistics, satellite image classification, image segmentation, GIS mapping, environmental mapping. - GIS software experience in ArcGIS Pro, ArcGIS Enterprise, ArcGIS Online, QGIS, Erdas Imagine, eCognition, ENVI 5X, GRASS, SAGA... - Geodata creation, editing, manipulation and analysis. - Geodatabase creation and management. - Model Builder and Python API's. Data Science Skills: - 11 formal course from Kristiania University College. - Several additional courses from online learning platforms like Udemy and Coursera. - Data Science, Machine Learning, Natural Language Processing, Database Management, Programming. - Data analysis by Power BI - Python, R, Weka, C#, Kotlin. - SQL, MySQL, MongoDB, PostgreSQL.
My task was to categorize all types of market goods based on UNSPSC coding system.
As a requirement of this position I am helping students in their practical tasks and grading homework and projects. Courses: Natural Language Processing, Python Programming.
I worked on three different projects while I was working for NGI. These are: * Development of procedures in ArcGIS for improved visualization of Remote Sensing data, in particular from SAR Interferometry. * Investigating different GIS-based approach to estimate surface runoff for a small catchment, including effects of infiltration, for two different scenarios: 1) Present situation and 2) Future situation with housing development of area. * Investigate the capabilities of open source geospatial information system (GIS) software like QGIS, GRASS, SAGA and GDAL. The main goal was to identify functions and data types related to remote sensing image analysis, terrain analysis, data pre-processing and data management.
I have worked on two projects at PRIO: 1- Managing and integrating remote sensing vegetation data in PRIO-GRID 2- R scripting and general data tasks