I am a globally recognized Geologist and Hydro-Environmentalist with over a decade of expertise in Geographic Information Systems (GIS) spatial data analysis, aerial and satellite imagery (remote sensing) analysis, and map making. With an impressive track record of delivering exceptional results, I have earned a reputation as a go-to freelancer in my field.
My ability to produce original, clear, and precise thematic maps (layers), layouts, and graphs for both print and web, using cutting-edge tools such as ArcGIS and Adobe Illustrator, sets me apart. I have a keen eye for detail and ensure that my work exceeds client expectations.
In addition to my mastery of GIS, I possess advanced knowledge of machine learning models and their application in geospatial analysis. I am proficient in implementing different machine learning and deep learning models, including Random Forest, Convolutional Neural Networks (CNN), and more. By leveraging these models, I can extract valuable insights and patterns from geospatial data, enabling clients to make informed decisions.
Furthermore, I excel in regression analysis and statistical analysis, employing robust techniques to uncover relationships between variables, identify trends, and perform predictive modeling. Through my expertise, clients gain actionable insights to optimize their resource management strategies and mitigate risks.
My extensive skill set includes expertise in the following tools and technologies:
ArcGIS
QGIS
Global Mapper
Google Earth Engine
Google Earth Pro
TerrSet
MaxEnt
Garp
Fragstats and many more.
I have successfully tackled diverse projects within the realm of geographic and spatial knowledge. From assessing risk and vulnerability to natural hazards to groundwater potential mapping, groundwater quality assessment, and land use/land cover change assessment, my capabilities span across multiple domains.
Moreover, I have applied machine learning models such as Random Forest and deep learning models like Convolutional Neural Networks (CNN) to address complex geospatial challenges. These techniques have empowered me to develop accurate predictive models and classification systems for a wide range of applications.
My portfolio showcases a wide range of accomplishments, including future land use and land cover change projections, ecological niche mapping, interactive map development, geological maps digitization, floods inundation mapping, and centroid calculation of different points and polygons. Each project exemplifies my commitment to delivering high-quality, visually appealing, and data-driven solutions.
In addition to my expertise in resource geology and GIS, I am well-versed in the R Statistical Language and Python, enabling me to tackle complex data analysis and modeling tasks with precision and efficiency.
I am adept at working with various data formats, including ESRI Shapefile, GeoTIFF, KML, and Vector Tiles, ensuring seamless integration and compatibility across different platforms.
As a world-renowned freelancer, I have cultivated a reputation for delivering excellence, meeting deadlines, and providing exceptional client satisfaction. I am committed to maintaining the highest standards of professionalism and communication throughout every project.
If you are seeking a top-tier resource geologist and hydro-environmentalist who consistently delivers outstanding results, look no further. Let's collaborate on your next project and unlock the full potential of your spatial data analysis needs.
QGIS
