George Pyne

Full-stack Geospatial Software Enginer. Spatial Data Scientist.

Skills & Experience

Address Resolution

Production level geocode integration experience.

Routing and Accessability

Experience of developing dedicated routing engines.

Map Hosting

Web map hosting, geospatial data sharing and tile server experience.

Digital Visualizations

Interactive, animated and sharable maps with dashboard support.

Spatiotemporal Data

Scalable data mining, visualisation, indexing, analytics and AI modelling.

Spatial Analysis (GIS)

Experience of spatial analysis & geostatistics.

Location Intelligence Examples

Projects & Demos

Some of my projects, demos and photos

Geocoding

Turn text into location intelligence.

Global coverage for address resolution
Dedicated server for batch geocoding
Interactive address suggestion API

See demo

Routing Engine

Ask how well are you connected?

Global coverage for batch A-to-B routing
Multi-destination route optimization
Drive, cycle and walk coverage zones

See demo

Map Server

Share your maps anywhere on any device.

Web map visualization engine
Geographic data exchange services
Web map tile server support

See demo

Interactive Maps

Share your interactive treasure maps.

Create interactive & animated maps
Web GIS data explorer
Dashboard integration

See demo

Commuter Data Analysis

Find the needle in the heystack of noisy gps data.

Scalable spatial analysis for huge datasets
Visualizations & heatmaps of large space-time data
Efficient space-time data querying

See demo

Spatially Aware AI

Use AI models with spatial awareness.

Forecast demand within spatial networks
Bespoke spatial analysis AI models
MLOps integration with other location services

See demo

Education

BA Geography (Geocomputation & Spatial Analysis)

King's College London

I have a first class BA in Geography (Geocomputation & Spatial Analysis) at King’s College London - I focused on the geocomputation pathway, GIS and urban geography. My dissertation presented a machine learning model to predict community car dependency based on millions of origin-to-destination commute journeys. My modules included histories & geographies of climate change, applied geocomputation & spatial analysis and advanced issues in natural & environmental hazards.

MSc Spatial Data Science & Visualization

University College London

I passed my MSc in Spatial Data Science and Visualization at University College London’s Centre for Advanced Spatial Analysis (CASA) with merit. I focused on digital web map visualizations, data science for spatial systems and spatiotemporal data mining. My thesis presented a space-time algorithm for clustering and indexing group movement patterns from movement datasets. My modules included data science for spatial systems, web & mobile GIS development, quantitative methods, programming, digital visualizations and geographic information system & science.

Experience

Intern at Vantagist AB

Stockholm

I worked in Stockholm as an intern at Vantagist - an analytics company who provide efficient analysis and visualization tools for large motion datasets. I was responsible for optimizing geo-computational methods for efficiently rendering heatmaps for huge datasets.

RBC Amplify Data Scientist

London & Toronto

I was accepted to the RBC Amplify program which sets teams of interns organizational challenges to be overcome by technology. My team was responsible for developing RBC Ark - a machine learning tool to match client information in disparate databases. Our team flew to Toronto to pitch this technology to the CTO and other C-suite executives, we signed a provisional patent for this technology and received the most disruptive prize in the competition.

Geospatial Software Engineer

Toronto

I moved to Toronto to join the Royal Bank of Canada Data & Analytics Location Intelligence team as a geospatial software engineer. I co-authored a provisional patent for a novel system and methodology for processing multidimensional time series data. I worked on the mission-critical payment engine for resolving millions of dollars daily for the SWIFT payment network, the Location Intelligence Visualization Engine for sharing interactive web maps across the organization, and the occurrent database for advanced space-time operators to process huge space-time datasets.