Customer Service Sql Server

Location:

Posted:

February 18, 2013

SACHIT PANDEY

aboeo5@r.postjobfree.com

EDUCATION

University of Arkansas at Little Rock (UALR), Little Rock, Arkansas

Master of Science, Applied Statistics & Geospatial Technology, 05/13

Curriculum Highlights: Advanced Statistical Methods I and II, Programming in SAS, Remote Sensing,

Fundamentals of Database Management System, Advanced Database Management Systems

University of Central Arkansas, Conway, Arkansas

Master of Science, Community and Economic Development, 05/10

Curriculum Highlights: Geographic Information Systems for Planning and Public Administration,

Research Methods and Data Analysis, Transportation and Infrastructure, Community and Economic

Development Policy Analysis

Hendrix College, Conway, Arkansas

Bachelor of Arts, Economics and Business, 12/06

SKILLS

MS Word, Excel, PowerPoint – 10+ years

ArcMap, ArcCatalog, ArcInfo, ArcEditor – 4+ years

Customer Service – 3+ years

Microsoft SQL server 2008, MS Access, Statistical Analysis Software(SAS) – 1 year

WordPress, Python, AUTOCAD – < 1 year

Writing and Composition; Math; Research

Speaks 3 Languages

EMPLOYMENT

(June ‘11 – Present)

First Electric Co-op Corporation, Jacksonville, Arkansas

Engineering Department

GIS Intern

Maps, Edits, and updates Electricity Distribution Network using Futura Software based on ESRI’s

ArcEditor, Partner map visualization software; frequently visits on-site for ground ‘truthing’ of GIS

data using Trimble GPS units, creates cartographically pleasing maps for servicemen, crew members,

stakers, and planning engineers

(September ‘11 – Present)

University of Arkansas at Little Rock, Little Rock, Arkansas

Institute of Economic Advancement, GIS Laboratory

Graduate Assistant

Creates analytical maps for State and County level offices throughout the State of Arkansas

highlighting Fire Districts, School Districts, Streets, Highways, Land use, Demographic, and Socio-

economic data; writes and executes database queries to extract data from large state-level data files