⭐My strengths and skills :
✅Geospatial Expertise: In-depth knowledge of GIS principles, spatial databases (e.g., PostGIS), and geospatial data formats (e.g., GeoJSON, Shapefile). They understand coordinate systems, map projections, and spatial analysis techniques.
✅Web Mapping Technologies: Familiarity with popular web mapping libraries and frameworks such as Leaflet, OpenLayers, Mapbox GL JS, or Google Maps API. They can create interactive and visually appealing web mapping applications.
✅Database Management: Proficient in working with relational databases (e.g., PostgreSQL, MySQL) and spatial databases (e.g., PostGIS) for efficient storage and retrieval of geospatial data. They can design database schemas, perform spatial queries, and optimize database performance.
✅Data Visualization: Skilled in visualizing geospatial data using charting libraries like D3.js or Plotly. They can create intuitive and informative data visualizations, including maps, charts, and graphs.
✅Spatial Analysis and Modeling: Capable of performing advanced spatial analysis tasks such as buffering, overlaying, network analysis, and geoprocessing. They can develop spatial models using tools like ArcGIS, QGIS, or GeoTools.
✅Version Control and Collaboration: Proficient in using version control systems like Git for code management and collaboration within development teams. They can effectively contribute to and manage code repositories.
✅Problem-Solving and Analytical Skills: Strong analytical thinking and problem-solving abilities, enabling them to address complex spatial challenges and develop innovative solutions using GIS and programming techniques.
✅Communication and Collaboration: Excellent communication skills to effectively collaborate with cross-functional teams, stakeholders, and clients. They can translate technical concepts into understandable terms and work in agile development environments.
✅Geographic Information Systems (GIS) Software: ArcGIS, QGIS, MapInfo.
✅Spatial Databases: PostgreSQL with PostGIS, Oracle Spatial, Microsoft SQL Server.
✅Web Mapping Libraries: Leaflet, OpenLayers, Mapbox GL JS,CesiumJs, Potree
✅Front-end Frameworks: React
✅Back-end Frameworks: Node.js, Django, Laravel, Geoserver
✅Data Visualization: D3.js, Plotly, Tableau.
✅Geospatial Analysis: GDAL PDAL rasterio TurfJs Geopandas
✅Spatial ETL (Extract, Transform, Load): FME
✅Version Control: Git, GitHub, Bitbucket.
✅Cloud Computing: Amazon Web Services (AWS), Google Cloud Platform (GCP), Microsoft Azure.
✅Mobile Development: ionic, ReactJs
✅Containerization: Docker, Kubernetes.
✅Data Formats: GeoJSON, Shapefile, KML,KML, GeoTIFF, vector tiles
Geographic Information Systems (GIS)
Google Maps API
Spatial Data Management
Data Quality Assurance
Geospatial Web Services
Version Control (Git)
Data Visualization Libraries (D3.js, Plotly)
Spatial Data Infrastructure (SDI)
Web Services (WMS, WFS, WCS)
Spatial ETL (Extract, Transform, Load)
Spatial Decision Support Systems (SDSS)