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ankita_sengar

ANKITA

@ankita_sengar

Geospatial Analyst

Inde
Anglais
Certaines informations sont présentées en anglais.
À propos de moi
I am a Geoinformatics postgraduate with a strong background in GIS, Remote Sensing, and spatial data analysis. I specialize in creating accurate maps, performing spatial analysis, and handling geospatial datasets using industry-standard tools. I am detail-oriented, reliable, and committed to delivering high-quality work within deadlines. My goal is to help clients transform spatial data into meaningful insights for decision-making.... Plus d’infos

Compétences

a
ankita_sengar
ANKITA
hors ligne • 

Voir mes services

Système d'information géographique (SIG)
I will do gis spatial analysis, satellite image processing using arcgis and erdas

Expérience professionnelle

project scientist

UPRSAC • Temps plein

Jul 2022 - Nov 20242 yrs 4 mos

Worked in Agriculture Resource Division at UPRSAC. Responsibilities included satellite data, interpretation, image processing, crop acreage estimation, land use/land cover mapping, masking, maps Unsupervised Classification, and report preparation using GIS & Remote Sensing tools.

GIS Consultant

LRM Consultancies • Temps plein

Jan 2021 - Aug 20217 mos

Worked on Land Use / Land Cover (LULC) mapping and updation for urban planning purposes Performed satellite image interpretation and classification for accurate land use assessment Conducted georeferencing of raster datasets for spatial alignment and analysis Updated spatial layers in support of the Master Plan 2031 Edited and maintained vector datasets including road networks and land parcels Managed attribute data and ensured accuracy of GIS database Prepared thematic maps and layout outputs for planning documentation

GIS Engineer

Reskaled Technologies • Temps plein

Jun 2020 - Dec 20206 mos

Worked on Land Use / Land Cover (LULC) mapping and updation for urban planning purposes Performed satellite image interpretation and classification for accurate land use assessment Conducted georeferencing of raster datasets for spatial alignment and analysis