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Reeti Nath
Spatial Data Analyst and Consultant | Data Scientist Enthusiastic
About
Reeti Nath is an experienced Geographic Information Systems Analyst with a strong background in information technology and utility industries. With a proven track record in Arcgis Desktop and Enterprises Products, ArcFm, FME, SQL, Oracle, SQL Server Database, ArcGIS Server, Portal for ArcGIS, PostgreSQL, R, Python, and Tableau, Reeti is a skilled IT professional with a postgraduate degree from Symbiosis Institute of Geoinformatics. Currently working as an Application Developer at Accenture, Reeti has previously worked as a Senior GIS Analyst at Cybertech, where she provided consulting services on ArcGIS Enterprise and ArcSDE related technical issues to Premium ESRI customers. She identified, troubleshooted, and analyzed issues, created bespoke solutions for users by training them, and created step-by-step documentation. She was also engaged in software testing, identifying bugs for the software, and creating bug/enhancement documentation to improve product quality. Prior to this, Reeti worked as a Geographic Information Systems Analyst at Cybertech. Reeti's education history includes a Master of Science degree from Symbiosis and a Bachelor of Science degree in Geography from Calcutta University, Kolkata. Her technical expertise includes SQL, Python, and test. With 4.35 years of relevant experience, Reeti is a strong IT professional with a passion for Geographic Information Systems.
Education
• symbiosis institute of geoinformatics
Companies
• accenture
• cybertech
• teri the energy and resources institute
Experience
5.5 Years
Find anyone’s contact
Experience
Geographic Information System Intern
teri the energy and resources institute | Delhi, India
2018 - 2018
Skills
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Consulting
Data Scientist
Information Technology
PostgreSQL
Python
R
Research Scientist
Software Testing
SQL
sql server
Tableau
test
testing
Troubleshooting
Contact Details
Email (Verified)
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+91XXXXXXXXXXEducation
symbiosis institute of geoinformatics
Master of Science - MS
2017 - 2019
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