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Expertise: Software Development, Data Analytics , Data Visualization, R & D

Summary:
Innovative application developer with history of peer reviewed publications and successful project outcomes

Expert in scientific computing and data visualization applications

Develop methods for mass-processing Landsat, MODIS, and TRMM images for LCLU & environment characterizations

Adaptable and proficient in varieties of programming languages, mapping APIs and geospatial libraries

Languages: C/C++, C#, Java, Python, R, HTML5/CSS, JavaScript

Applications: ArcMap, Qgis, Geoserver, ArcGIS Server, Visual studio, IntelliJ, Git, Jupyter, PyCharm, FME

Databases: PostgreSql, PostGIS, ArcSDE, MySql, SQL Server, Oracle

APIs/ Libraries: ESRI JavaScript API, OpenLayers, Leaflet, Tilemill, Tile Cache, GDAL/OGR, ArcObjects, ArcPy, RxJS

Frameworks: Angular, AngularJs, WPF, MVVM, ArcGIS Enterprise SDK, ArcGIS Runtime, Node, Spring Boot, JAX-RS

Satellite Imagery & Remote Sensing products :Landsat, MODIS, TRRM, Microwave, HDF, NetCdf, Grib, EVI, NDVI, LAI









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