cv
Basics
| Name | Javier Alfaro |
| Label | Geospatial AI, Remote Sensing, Urban Analytics |
| javi.alfaro94@gmail.com | |
| Url | https://jaroxciv.github.io/ |
| Summary | Data Scientist and Machine Learning Expert specializing in GeoAI, remote sensing, and urban analytics. MSc in Geographic Data Science from LSE (Best Dissertation Prize). Building modular, explainable GeoAI systems for cities and environments. |
Education
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2023.09 - 2024.09 MSc
London School of Economics and Political Science
Geographic Data Science
- Deep Learning, Spatial Analytics, Urban Economics, GIS
- Dissertation: Using deep learning to track urban change & gentrification in London. Presented at CUPUM 2025 and Oxford Saïd Business School.
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2021.01 - 2022.10 -
2015.01 - 2020.01
Work
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2021.12 - Present Data Scientist & ML Expert
GeoKapti (Netherlands)
Lead ML and automation projects for clients in London and Latin America. Built LLM agent using LangGraph for SQL workflows and conversational memory.
- AI-driven spatial analytics for clients across Europe and Latin America
- Developed modular geospatial clustering and routing API for urban logistics
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2021.03 - Present Data Scientist
DMA Analytics
Lead geospatial, environmental, and economics-based projects with The World Bank, IDB, and private sector.
- Built Earth Engine time series workflows for satellite imagery
- Supported decision-making with advanced geospatial analytics
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2020.11 - 2021.12 Jr Data Scientist, AI Department
Directorate General of Customs
Managed AI/risk management modules for institutional self-management in foreign trade (100M+ transactions). Automated public administration processes.
Volunteer
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2025.01 - 2025.02 Co-Facilitator, Data Study Group
The Alan Turing Institute
Automated shallow gas detection from marine seismic images. Led georeferencing, classification, and deep learning model development.
Projects
- 2024.04 - 2024.10
Nokia Bell Labs Cambridge - Urban Transformation in London
Analyzed gentrification and displacement using census, satellite imagery, and prescription records. Built change detection maps with DL on Sentinel-1/2.
- 2024.01 - 2024.04
LSE - Deep Learning for LULC Change Prediction
Benchmarked U-Net, Temporal CNN, Transformer models for LULC. Custom models outperformed baselines.
- 2024.01 - 2024.04
LSE - Airport Scheduling Optimization
Developed BFS, UCS, and CSP algorithms for robust airport scheduling under disruptions.
Publications
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2025.06.25 Gentrification from the Sky: Using Remote Sensing and Machine Learning for Urban Change Detection
CUPUM 2025 (Cloud Cities Edition)
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2025.06.24
Skills
| Programming | |
| Python | |
| R | |
| Stata | |
| SQL | |
| VBA |
| Software | |
| Flask | |
| Heroku | |
| Ngrok | |
| Docker | |
| Linux | |
| Git | |
| LaTeX |
| Data Science | |
| Pandas | |
| GeoPandas | |
| NumPy | |
| Scikit-learn | |
| PyTorch | |
| TensorFlow | |
| OpenCV |
| GIS & Cloud | |
| Google Cloud Platform | |
| Azure | |
| QGIS |
Languages
| Spanish | |
| Native |
| English | |
| Fluent |
| Italian | |
| Intermediate |
Interests
| GeoAI, explainable AI, remote sensing, urban change, modular AI systems, spatial data science, urban perception, human-in-the-loop analytics |