I am a Geospatial and GIS analyst with a background in geology and hands-on experience in website development and spatial data analysis. Skilled in managing complex geospatial datasets and developing interactive web-based GIS platforms. Proficient in Python, and SQL with extensive knowledge of GIS tools such as QGIS, ArcGIS, FME Form and Geoserver. Always eager to tackle new challenges and expand my skills in geospatial technology.
Enhanced mineral detection using band ratioing and PCA, visualized mineral distributions with RGB band composition, and applied SMOTE and undersampling techniques. Developed and trained machine learning models (Random Forest and SVM) to predict mineral occurrences.
ArcGIS ProQGISTensorFlowGoogle Earth EngineGitDeveloping a U-Net model for accurate land cover classification, with a focus on evaluating the model's performance both with and without data augmentation.
QGISPythonTensorFlowGitImplemented an interactive dashboard for Aa River data, featuring 2D and 3D visualizations, including LiDAR point clouds and multispectral images. Deployed the solution on a virtual machine running Windows Server.
GeoserverPostgreSQLleafletjsThree.jsGitDeveloped a full-stack web application using Django to serve a REST API with Bootstrap 5 for the front end. Implemented ETL processes to extract, transform, and load restaurant data from the Google API into PostgreSQL. Enabled CRUD operations for user reviews and integrated interactive maps for navigation and route guidance. Used Docker for containerization and deployment.
ETLDjangoDockerPostgreSQLLeafletjsGitDeveloped a centralized web platform for managing geochemistry, geophysics, and map data. Implemented a security system with user account verification and enabled integration with GIS tools for data visualization, editing, and export. Optimized search queries and provided a summary view of geospatial data.
DjangoGeoserverPostgreSQL2021 - 2023
Managed geological, geophysical, and geochemical exploration data. Responsible for creating and updating all spatial layers and related information. Managed RC and diamond drill data, including creating profiles, sections, and advanced maps. Prepared a seamless web dashboard that integrates multiple data sources.
ArcGIS ProGeoDjangoGeoserverPostgreSQL2019 - 2021
As a Geospatial Data Specialist, responsibilities included creating, maintaining, and updating spatial databases. The role involved performing remote sensing tasks such as processing satellite images, as well as developing, editing, and updating spatial and hydrometeorological data using GPS and digitization techniques with satellite imagery. Additionally, historical geological maps were georeferenced with modern geospatial data to enhance analysis and visualization.
QGISPostgreSQLGeoserverAutoCADERDAS IMAGINE