Gerardo Ezequiel Martín Carreño

Full Stack Spatial Data Scientist · Urban Sustainability practitioner · London

Education

MSc Urban Spatial Science, Spatial Data Science — The Bartlett School of Architecture, University College London. 2022–2024. Thesis: Shaping Cool Cities: Multi-Source Data Fusion for Modelling Urban Heat Mitigation Across Six European Cities (Amsterdam, Athens, Barcelona, Berlin, Madrid, Paris).

Summer School, Decarbonising Cities & the Social Cost of Climate Change — MIT, Aug–Sep 2023.

Máster en Ciencia y Tecnología de la Sostenibilidad — Universitat Politècnica de Catalunya, 2017–2019. Grade 8.29 / 10.

Máster en Intervención Sostenible en el Medio Construido — Universitat Politècnica de Catalunya, 2018–2019.

Software Engineering Immersive Bootcamp — General Assembly, 2020. 480+ hours over 12 weeks.

Grado en Ciencias Ambientales (minor Urban Planning) — Universidad de Granada, 2013–2017.

Experience

Full-Stack Spatial Data Scientist — The TJX Companies, Inc. London (Hybrid). Sep 2023 – present. Leading geospatial analysis for European markets. Cloud-native workflow integrating loyalty data, foot traffic, and postcode-level demographics (turnaround: two weeks → less than a day). Speaker at the Spatial Data Science Conference 2025 (London).

Researcher — Spatial Data Analyst — Metabolism of Cities. London. Feb 2022 – Feb 2023. Method for measuring urban circularity; Python + Plotly interactive Sankey diagrams; managed a team of two.

Spatial Data Analyst — Freelance. Jan 2020 – Feb 2023. Urban sustainability consulting in the Canary Islands and Catalonia. Contributor to the Urban Agenda for the Canary Islands.

Junior Researcher / Data Scientist Intern — Metabolic. Amsterdam. Mar 2021 – Feb 2022. CENTRINNO EU Horizon 2020 project.

Spatial Analyst Intern — BCNecologia. Barcelona. Jul – Dec 2019. Social Superblocks in Barcelona.

Selected projects

Derive — psychogeographic drift PWA
Shaping Cool Cities — MSc thesis, UCL Bartlett 2024
Geospatial Careers — career-intelligence platform
The Infinite Game — collaboration with Persona Collective, Arts Council DYCP 2024
Upside Down Earth — cartographic artefact maker

Talks & public engagement

Speaker, Spatial Data Science Conference 2025 (SDSC25) — London, 2025.
URBAN AI Academy Capstone defence — March 2026 (Grand Jury: Or Aleksandrowicz, Federico J. Fernandez). Certified Urban AI Practitioner.
Urban AI Conversation #49 panellist — March 2026.

Technical skills

Languages: TypeScript, JavaScript, Python, R, SQL.

Geospatial: PostGIS, MapLibre GL JS, deck.gl, H3, GDAL, QGIS, ArcGIS Pro, GeoParquet, Cloud-Optimised GeoTIFFs (COG), Mapbox.

Front-end: React, Next.js, Zustand, Dexie (IndexedDB), Tone.js, Tailwind CSS.

Sensors / audio: Web Bluetooth API, Web Audio API, AudioWorklet, Meyda spectral analysis, Tone.UserMedia.

AI / generative: Claude API, ElevenLabs TTS, Google Chirp 3 HD, LLM + spatial SQL workflows, prompt-builder pipelines with register-adaptive system prompts.

Data engineering: Plotly (Sankey, interactive maps), Tableau, cloud-native geospatial stack (S3 + GeoParquet + DuckDB).

Ethics / data governance: UK GDPR Article 9 consent design, hash-chained consent ledger, DPIA, k-anonymity, differential privacy, Zenodo DOI release, Life Cycle Assessment (SimaPro).

Languages

English (fluent) · Spanish (native).