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naeemalpha

M.Naeem

@naeemalpha

Geospatial Engineer, Remote Sensing and GeoAI, QGIS Plugin Developer, ArcGIS Pro

Pakistan
Englisch, Urdu, Punjabi
Einige Informationen werden in englischer Sprache angezeigt.
Über mich
Geospatial Engineer with 5+ years of experience in GIS, remote sensing and GeoAI. I develop QGIS plugins, automate geospatial workflows with Python, and build WebGIS solutions using PostGIS and GeoServer. Co-Founder of Geonexa. Open to remote and international projects.... Mehr lesen

Kompetenzen

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naeemalpha
M.Naeem
offline • 

Meine Dienstleistungen

Geoinformationssysteme (GIS)
I will build interactive web gis maps and dashboards using leaflet
Ab75 $ / ProjektWeitere Details

Arbeitserfahrung

R2V

R2V

Vollzeit • 3 yrs 5 mos

GIS Expert / Team Lead

Apr 2024 - Present • 2 yrs 7 mos

Led WebGIS platform and dashboard development using QGIS, Leaflet, OpenLayers, GeoServer, and PostgreSQL/PostGIS. Managed 20+ GIS layers across land planning, horticulture, revenue, and operational modules. Automated spatial workflows with Python, integrated REST APIs, and maintained data quality through topology validation, attribute checks, and coordinate system verification. Coordinated GIS and survey updates and mentored two junior GIS staff.

GIS Analyst

Jun 2023 - Apr 2024 • 10 mos

Performed commercial land-use analysis, urban growth assessment, and corridor suitability mapping for planning projects. Produced 12+ thematic maps and five analytical reports supporting zoning and infrastructure decisions. Used QGIS and PostGIS for data cleaning, spatial analysis, and geoprocessing. Developed reusable processing models and coordinated with survey teams to validate satellite-derived land-use classifications against field observations.

AOS_Tech

GIS Assistant

AOS Tech • Teilzeit

Feb 2022 - Jul 2022 • 5 mos

Supported agricultural planning through satellite imagery analysis, GIS mapping, and land resource assessment. Produced land use and land cover classifications covering agricultural areas, settlements, water bodies, and vegetation. Analyzed land-use changes, validated classification outputs against field survey points, and prepared district-level statistics to support agricultural monitoring and resource planning.