Juan Ignacio Fulponi

Senior Data Scientist | Spatial Analytics & Transport Economics
📍 Prato, Tuscany, Italy
📧 jfulponi@economicas.uba.ar | 📞 +39 320 2959111
đź”— LinkedIn | đź’» GitHub


About Me

Senior Data Scientist and Economist specializing in spatial analytics, geospatial AI, and transport economics. With 7+ years of international experience (World Bank, IDB, private consulting), I build scalable cloud-native pipelines, predictive models, and spatial econometrics frameworks to transform location data into actionable insights.

Proficient in Python, R, SQL, Spark, Sedona, and cloud platforms (AWS, GCP), with a strong background in machine learning, spatial econometrics, and mobility data science. Passionate about bridging advanced data science with real-world geospatial problems, from urban mobility and logistics to infrastructure impact evaluation.


Work Experience

REDAS Engineering — Transportation Economist & Data Scientist

Milan, Italy | Dec 2024 – Apr 2025

  • Designed feasibility and impact evaluations for major transport infrastructure projects.
  • Integrated data science and geospatial econometrics into transport economics workflows.
  • Supported strategic project development and client engagement.

ALEPH SRL — Transportation Consultant

Florence, Italy | Mar 2024 – Dec 2024

  • Evaluated macro and micro impacts of road and HSR projects.
  • Applied data-driven models in transportation planning and engineering.
  • Delivered evidence-based insights for feasibility and infrastructure policy.

World Bank Group — Transportation Planning Consultant

Remote | Nov 2022 – Present

  • Built OD matrices from mobile data (Buenos Aires, Bogotá) and assessed congestion costs (Lima).
  • Delivered geospatial data products integrating Waze, GTFS, and GPS.
  • Coordinated with governments in Latin America and Africa, ensuring real-world policy impact.

World Bank Group — Development Data Partnership

Remote | Mar 2022 – Jun 2023

  • Developed spatial data pipelines in Spark + Sedona for global development use cases.
  • Built production-ready analytical workflows in R/Python deployed on AWS & GCP.
  • Provided scalable geospatial solutions for partner organizations.

Inter-American Development Bank — External Consultant

Remote | Apr 2022 – Jun 2023

  • Processed GPS + mobile data (Veraset, Facebook) to generate OD matrices and modal splits.
  • Applied spatial econometrics and ML models across 17 Latin American cities.
  • Created reproducible R/Python pipelines for visualization and reporting.

Uber — External Consultant

Buenos Aires, Argentina | 2021 – 2022

  • Evaluated Uber’s impact on congestion using econometric ML models in R.

INDEC (Statistics Institute) — Product Owner

Argentina | 2021 – 2022

  • Modernized national statistics workflows using SQL, R, and C#.

City of Buenos Aires — Transportation Economist

Argentina | 2017 – 2019

  • Led feasibility studies and urban transport policy analysis.

Education

MSc in Transport Economics, Planning & Operations University of Pablo de Olavide – Seville, Spain | 2023

BA in Economics (Honors) University of Buenos Aires

  • GPA: 8/10 | Thesis on congestion economics (10/10)

Skills

Spatial & Cloud Data Science

Python (GeoPandas, PyTorch, Scikit-learn), R (Tidymodels, INLA, sf), SQL (PostGIS, BigQuery), Spark, Apache Sedona, Docker, Kubernetes, AWS, Google Cloud, Databricks.

Spatial Analysis & Visualization

Spatial Econometrics, Machine Learning, GeoAI, OD Matrix Estimation, Shiny, Power BI, QGIS, Leaflet, CARTO, Blender.

Languages

  • English: C2 (Proficient)
  • Spanish: Native
  • Italian: Intermediate

Selected Publications


Interests

  • Spatial Data Science & GeoAI
  • Transport Infrastructure & Urban Mobility
  • Open-Source Development
  • Academic Research & Teaching