Sharon Irukan

I am a Geomatic Engineering and geospatial data professionalwith strong technical experience in GIS, spatial data science, geospatial programming, and remote sensing analytics. My work spans the complete geospatial data pipeline, from field data acquisition and sensor-based measurements to database management, spatial modeling, and advanced analytics using modern GIS and programming tools.

I have hands-on experience conducting topographic, cadastral, and engineering surveys using GNSS, Total Stations, digital levels,and drone-based imagery**,** and processing survey outputs using ArcGIS Pro, QGIS**,** AutoCAD Civil 3D, and Global Mapper. I have supported infrastructure and land development projects through setting-out, volume and cross-section computations, coordinate transformations, and quality-controlled survey reporting, ensuring high spatial accuracy and reliable deliverables.

My core technical focus is GIS automation and spatial analytics using code. I work with Python (NumPy, Pandas, GeoPandas), SQL, and JavaScript**,** integrating PostgreSQL/PostGISdatabases with GIS platforms to manage and analyze large spatial datasets. I have applied Google Earth Engine for cloud-based remote sensing workflows, including land use/land cover classification, image preprocessing, time-series analysis, and environmental monitoring using satellite data.

I also have experience applying data science and machine learning techniques to geospatial problems, including regression and classification models, spatial feature engineering, and exploratory data analysis. I am familiar with Scikit-learn, R (basic), and spatial statistics concepts, and I actively explore ways to integrate machine learning into predictive spatial modeling, pattern detection, and decision-support systems.

In addition, I have worked with network analysis, route optimization, cost-path modeling, spatial interpolation, and geoprocessing workflows, combining survey, satellite, and vector data to produce high-impact maps, dashboards, and analytical reports. I am comfortable with web mapping concepts, GIS APIs, and cloud-based geospatial platforms, and I value reproducible, well-documented analytical workflows.

I bring strong technical communication and collaboration skills, with the ability to translate complex spatial and analytical outputs into clear insights for engineers, planners, and non-technical stakeholders. I am driven by opportunities to apply geospatial technologies, programming, and data-driven methods to solve real-world problems in infrastructure, environmental management, and sustainable development.