Heikki Vesanto is a Data Science Manager with 11 years' experience applying GIS, remote sensing and geospatial engineering to insurance and environmental problems across the US, UK and Ireland. He leads a team of data scientists at LexisNexis Risk Solutions, driving agile adoption and building end-to-end workflows from PostgreSQL/PostGIS back-ends to optimized predictive models for roof claims, windstorm, basement presence and property-level fire risk. He blends hands-on data engineering (ETL automation, Pentaho, Python, Postgres functions) with machine learning and computer vision (SVM/OpenCV pipelines for extracting speed limits from street imagery). A Finnish-trained geoinformatics specialist with field remote sensing experience, he pairs rigorous academic remote-sensing skills with practical product delivery and operational efficiency gains. Notably, he has built models that integrate 130 years of storm history and building-outline–level accumulation to produce more spatially precise risk assessments.
11 years of coding experience
5 years of employment as a software developer
Master of Science (MSc), Geoinformatics (GIS), Master of Science (MSc), Geoinformatics (GIS) at Helsingin yliopisto / University of Helsinki
MA (Honours), History and Geography, Upper Second Class, MA (Honours), History and Geography, Upper Second Class at The University of Glasgow
Matriculation Examination: LLCB (Equivalent GCE A-LEVEL: AACD or 380 UCAS pts.), Matriculation Examination: LLCB (Equivalent GCE A-LEVEL: AACD or 380 UCAS pts.) at Kuopion Klassillinen Lukio
Contributions:2 commits, 1 push, 1 branch in 2 years 1 month
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