MOHSSINE G.

Hi,
I am GIS and AI specialist for more than 10 years, I possess a solid foundation in programming languages such as Python and JavaScript, along with expertise in geospatial analysis, data management, and web mapping technologies. My ability to effectively communicate and collaborate with cross-functional teams, combined with my strong problem-solving and analytical skills, enables me to deliver high-quality results and contribute to the success of GIS projects. I am confident that my skills and passion for GIS make me a valuable asset to your team

⭐My strengths and skills :

✅Full Stack Development: Proficient in both front-end and back-end development, including HTML, CSS, JavaScript, and frameworks like React, Angular, or Vue.js for building user interfaces. They also have experience with server-side technologies like Node.js, Laravel, or Django for building robust APIs and handling data processing.

✅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.

geospatial AI
satellite imagery analysis
LiDAR classification
Precision agriculture
Location intelligence
Geospatial Machine Learning
LiDAR Processing
Agricultural Technology
Location Intelligence

✅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.