02/10/2026 updated

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Geographic Information Systems Specialist and Human Geography Researcher

Iwo, Nigeria M.Sc. Human Geography
Iwo, Nigeria M.Sc. Human Geography

Profile attachments

CV_NI.pdf

About me

I am a highly skilled GIS and Remote Sensing Specialist with over a decade of experience transforming complex geospatial data into clear, actionable insights. My work spans environmental monitoring, agriculture, urban planning, climate analysis, disaster management, and 3D geospatial modelling.

Geographic Information SystemsAgricultureArcGIS (Software)AutomationUrban PlanningData CleansingEmergency ManagementEnvironmental MonitoringGeographic Coordinate SystemGeographyGoogle EarthPython (Programming Language)Land UseMachine LearningPredictive ModellingQuantum GIS (QGIS)Remote SensingSatellite ImageryRäumliche AnalyseSpatial Data InfrastructuresSustainabilityWorkflowsImpact AnalysisMatplotlibGeospatial Data Abstraction Library (GDAL)Climate ChangePublishing
I am a highly experienced GIS and Remote Sensing Specialist with over a decade of professional expertise in geospatial data analysis, satellite imagery processing, and map creation. My work spans a wide range of applications including environmental monitoring, land use and land cover analysis, urban planning, agriculture, disaster management, and climate change impact assessment. Throughout my career, I have developed and implemented advanced spatial analysis workflows, combining the power of remote sensing technologies with geographic information systems to support data-driven decision-making. I am particularly skilled in leveraging Python programming within Jupyter Lab to automate geospatial processes, perform spatial statistics, classify satellite imagery, and generate high-resolution maps. My work often involves integrating raster and vector data, developing custom scripts for data cleaning and transformation, and visualizing spatial patterns with clarity and precision. My technical toolkit includes proficiency in libraries such as GDAL, Rasterio, Geopandas, Shapely, and Matplotlib, along with experience in working with tools like QGIS, Arcgis pro, global mapper, Google Earth engine and ArcGIS for more complex geoprocessing and cartographic tasks. I am adept at handling large-scale datasets, conducting change detection studies, building predictive models using machine learning, and producing publication-quality maps that communicate spatial narratives effectively. With a strong understanding of geospatial standards, coordinate systems, and remote sensing methodologies, I consistently deliver accurate, reliable, and insightful geospatial outputs tailored to the unique needs of each project. My passion lies in turning complex spatial data into actionable intelligence that drives sustainable development and informed planning.

Languages

EnglishNative speaker

Project history

Academic Staff

Bowen University
Current academic position at Bowen University, Iwo, Osun State

Geographic information system specialist

Geoinformation Production and 3D model Enterprise
Specialized in geographic information systems and 3D modeling applications

Certificates

Imagery in Action

Esri

2021

QGIS training

University of Karnataka

2020


Portfolio

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Water management using remote sensing

Using GRACE satellite data (2002–2024) combined with GLDAS and CHIRPS, I analyzed the Malenda Basin's water storage changes to inform sustainable water management.
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Carbon mapping

Carbon mapping in Google Earth Engine is a powerful approach that leverages satellite data and cloud computing to estimate and monitor carbon stocks across landscapes. This process typically focuses on two main carbon pools: aboveground biomass in forests and vegetation, and soil organic carbon.
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Rainfall mapping using kriging

Rainfall data were acquired and mapped for the study area
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Landuse mapping

Landuse mapping using Modis landcover data
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Ecological zone map

Ecological zone mapping in NIgeria
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Elevation

Point mapping with elevation data
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Statistical Graph

The statistical graph is the graph of surface water trends and it was created using python in jupyter lab platform
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Flood vulnerability mapping

The flood vulnerability mapping was analyzed in google earth engine using sentinel 2 data
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Spartina alterniflora specie mapping

The analysis was done using google earth engine
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Water management

Water management mapping using GLDAS and GRACE
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Study area map

Study area map done in ArcGIS
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Atmospheric dispersion modelling

Atmospheric dispersion modelling using python program on Jupyter lab platform

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