GIS analyst Resume

SUMMARY:

6 years experience in Cartography (especially on spatial data quality issues and transformations - features topology and conceptual consistency, georeferencing, data capture and editing and data integration from multiple sources/scales, projections),
6 years experience in GIS analysis (statistical analysis, geostatistical analysis, spatial analysis, hydrological analysis)
6 years experience in batch processing (python scripting/ Arcpy module, Sklearn module (especially clustering for data analysis), Numpy and Scipy module
10 years experience in land surveying/staking

SKILLS:

Python (especially arcpy module), Sklearn module (especially clustering for data analysis), Numpy and Scipy module.

ARCGIS, QGIS software packages. Basic knowledge of using GRASS software

AutoCAD software package.

Microsoft Office software package.

Greek

English (Cambridge First Certificate in English), French (very basic understanding, Certificat de langue Francaise)-.

PROFESSIONAL EXPERIENCE:

Confidential

GIS analyst

Responsibilities:

Data capture from multiple sources (maps digitization, open sources - kml files and shapefiles, autocad drawings- land surveying data).
Data georeferencing between different projections (European, World projections and Greek grid projection). Data integration. Model Generalization (elimination-aggregation). Quality control (topology-conceptual consistency-format consistency).
DEM construction using land surveying and data from other sources (maps digitization, providers).
DEM quality control across land surveying elevations-New DEM production (interpolation).
Surface data preparation for hydraulic use (ArcHydro tools and GeoHMS/GeoRAS tools in ARG/GIS 10.3 environment were used for hydrologic information extraction-terrain preprocessing, stream definition and watersheds delineation).
Soil and land cover data analysis was performed in order to determine the Curve Number of the basins.
Geostatistical analysis was performed on Intensity-Duration-Frequency curves parameters in conjunction to surface elevations in order to apply Intensity-Duration-Frequency curves on the study area.
Statistical analysis was performed in order to evaluate the vulnerability of the areas against the floods (affected population, affected agricultural areas, buildings, roads and other infrastructures etc.).
Analysis was based on floods maximum depth and velocity.
Maps composition (.mxd format) was implementing in ARC/MAP ("data driven pages" utility was used in order to create map series).
New symbols were composed.
Batch processing was performed (python scripting language and arcpy module were used) for the implementation of the analysis and data preparation tasks.
Supervising buildings construction.
Land and buildings surveying and mapping.
Implementing construction plans, on the ground.

Confidential

GIS analyst

Responsibilities:

Construction surveyor in construction site of the Cultural and Conference centre.
Supervising concrete construction team
Construction staking and site layout (concrete and metal structures)

Confidential

GIS analyst

Responsibilities:

Database development (in ARC/GIS 9.3 environment) containing the properties polygonal areas joined to the contracts and public documents.
Old maps georeferencing using map features common characteristics.
Maps georeferencing between different projections (European projections, World projections, Greek grid).
Data integration from multiple sources (CAD, digitization).

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