Recent experience

Web Developer @ Conversion Champions

My work involves building websites from Adobe XD designs using HTML, CSS, JavaScript, jQuery, and PHP, with a strong focus on responsiveness and accessibility. In addition, I maintain and extend video database systems, implement A/B tests via Google Tag Manager and Google Analytics to improve user engagement and conversion rates, and continuously optimize performance for a smooth user experience.

Relevant expertise

GIS & Spatial Analysis

  • Desktop GIS (QGIS, ArcGIS Pro)
  • Spatial Data Management (PostGIS, SQL)
  • Remote Sensing Basics
  • Ecological Data Interpretation

Web Mapping

  • Interactive Maps (Leaflet, Mapbox GL JS)
  • GeoJSON & Vector Tiles
  • Spatial APIs Integration
  • Data Visualization (Charts.js, Recharts)

Development

  • JavaScript & Python (GeoPandas)
  • Frontend Frameworks (React, Vue)
  • Backend Logic (Node.js)
  • ORM & Database (Prisma, PostgreSQL)

Core Web Skills

  • Semantic HTML & Accessibility (WCAG)
  • Modern CSS & Responsive Layouts
  • Performance Optimization
  • Git & Version Control

Projects

Automated Site Assessment Tool

Full-stack geospatial application for identifying optimal solar farm locations based on OpenStreetMap data. Features automated land-use analysis, dynamic exclusion-zone filtering, and proximity scoring for power grid infrastructure.

Core Features: Interactive vector maps, real-time spatial queries, and multi-criteria site ranking.

Data Engineering: Built a robust ETL pipeline transforming raw OSM data into analysis-ready PostGIS geometries using custom SQL logic.

Tech Stack: Vue 3, FastAPI, PostgreSQL (PostGIS), MapLibre GL JS, Docker.

Remote Sensing Dashboard

Web-based GIS platform for monitoring peatland restoration using satellite imagery. Enables interactive time-series analysis of ecological indices (NDVI/NDMI) derived from Sentinel-2 data to track vegetation health and moisture levels.

Core Features: Comparative visualization mode, interactive maps, and automated trend analysis for restoration sites.

Data Engineering: Implemented a Python ETL pipeline (Pandas) for cleaning, interpolating, and aggregating raw satellite data streams.

Tech Stack: Vue 3, Leaflet, Chart.js, Python (Pandas), Tailwind CSS.

Certifications

Uni Jena Logo

Land in Focus - Wet-Ecosystems

ESRI Logo

Going Places with Spatial Analysis