GIS Specialist Resume

Objective
To work in a challenging environment which can hone my technical skills and improve my ken of knowledge.

Education
Master of Science, in Geographical Information Science.
Bachelor of Technology, Computer Science and Engineering,

Software Skills
Programming languages : C, C++, C #, Java, VBA, VS, HTML
Platform : Microsoft Windows, Linux (Ubuntu)
Software Experience : MS Office, Open Office Org, Matlab
Multimedia : Adobe Photoshop, Swish
GIS Skills : ArcGIS, SDE, IMS, MapInfo, ERDAS, IDRISI

Courses Undertaken
Skills for Geographical Information Science, Environmental Remote Sensing, GIS and Environmental applications, Fundamental of Information and IS, ICTs and SED, Introducing IS in organisations, EMMP

Industrial Experience
Confidential. Hyderabad (July 2008-September 2009)
Worked inConfidential, as a GIS Specialist (deputed through Rofous Software Pvt. Ltd. Hyderabad), worked on Google Maps, my role involves GIS specialist and quality controller, and focus area was Geo.

Confidential Hyderabad (June 2007-June 2008)
Worked here as GIS Specialist on Arcgis 9.2 platform for 2D and 3D city visualisation.

Dissertation (Research Intern, March’2010-September’2010)
Developing a GIS model for tree planting prioritisation in Manchester city - in Manchester city council and red rose green forest, Under the Supervision of Prof. Sarah Lindley

Academic Projects
Custom GIS Solution project at Confidential
Completed a project of custom GIS solution in VBA and Arc objects, created a toolbar in ArcGIS which was made to speed up the process of identifying roads for the Northwest branch of highway agency, UK
Evaluated the Landsat TM image for habitat mapping at Confidential
By using principles and theory of remote sensing to a practical application evaluated the Landsat TM image for habitat mapping in the Dark Peak. This project has developed skills in image analysis, especially multispectral classification.
Planning and Implementing a GIS based analysis at Confidential
Using GIS I have recommend suitable locations for a new automatic air quality monitoring station in south Manchester to measure urban background concentrations of nitrogen dioxide.
Musical Classification using Neural Network(Under Graduation Final year Project)
Developed a classifier which automatically classifies downloaded music into various categories. The classification can be performed both by genre and by artist. Language used VC++.

Achievements
Won certificate for excellent quality in auto QC in Confidential in Nov’08
Won certificate for most improved employee in Confidential in Oct’08
Won award two times for team of the month in Confidential in Dec’08 and Apr’08

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