LEIF HOLMQUIST
EO & Geospatial Data Scientist
I make Earth observation data answer practical questions: where drought monitoring breaks under cloud cover, which coasts would have a higher tsunami risk, how a wildfire scarred the Chernobyl Exclusion Zone, where a national fiber network should grow next. Ten years of remote sensing, GIS, and machine learning, from UN field programmes to hyperspectral pipelines.
// PROJECTS
// EXPERIENCE
Condensed. Full role details available upon request.
Earth Observation Specialist · ForestSync
Sentinel-2 and biomass raster processing in Python for forestry monitoring: masking, normalization, and AOI-based time-series.
Geospatial Data Scientist · TDC Net
Street network routing, constrained clustering, and capacity forecasting for national fiber rollout; layers and dashboards used directly by planners.
Geospatial Data Engineer · Ecogain
Automated geospatial ETL from multiple sources into ArcGIS, cutting prep from a day to minutes, plus sensitivity analysis tooling for a land-use model.
GIS & Data Analyst Expert · UN Development Programme
Satellite change detection and regional analytical mapping for humanitarian risk, agricultural development, and food-security monitoring.
Geospatial Data Engineer & Analyst · Malmö University, Urban Studies
Accessibility research on ~6 billion Swedish registry records: national scale distance computation, maps, and a researcher focused analysis tool.
GIS Technical Writer · Lund University GIS Centre
Revised and modernized a 100+ page GIS manual and 20+ lab exercises for the ArcGIS Desktop to Pro migration: updated iconography, reworked wording, and new sections; supporting 20+ courses.
Geospatial Data Engineer · City of Malmö
PostgreSQL/PostGIS administration and Python + SQL automation for permissions, ingestion, and municipal planning support.
Master's Thesis Researcher · HEIG-VD
Environment weighted network routing in PostGIS/pgRouting for my master's thesis on runners' response to route greenness.
Remote Sensing Analyst · UN-SPIDER
MODIS based drought monitoring (VCI/SPI) and cloud frequency analysis across Central America for operational assessment.