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Public-Safe Case Study
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Iberdrola Datathon

IE x Iberdrola datathon case study for Spain 2027 interurban EV charging rollout strategy, combining demand projection, grid readiness, corridor friction, and phased deployment planning.

Role
Data Strategy Contributor
Period
2026
Signal
IE x Iberdrola datathon
Why it matters

Converted messy infrastructure and demand data into a business-defensible rollout plan with reproducible outputs, maps, report assets, and pitch-ready evidence.

Iberdrola Datathon

The Iberdrola Datathon project is a public-safe case study from the IE x Iberdrola challenge on interurban EV charging network planning in Spain. The work focused on building a 2027 rollout strategy that did more than minimize charger count: it connected projected EV demand, existing charger coverage, road corridors, grid hosting capacity, and deployability constraints into a phased business plan.

The project is strongest as a data-to-strategy signal. It turns raw infrastructure datasets into reproducible outputs, map visuals, required competition CSVs, a final report narrative, and a pitch-ready recommendation that separates deploy-now sites from monitor and reinforcement-first locations.

Tech Stack

Python Jupyter Pandas Parquet CSV Validation HTML Maps Data Storytelling

Key Features

  • Spain 2027 interurban EV charging rollout strategy for an IE x Iberdrola challenge
  • Existing interurban charger baseline removed before proposing new sites
  • Road-segment, grid-node, EV-growth, and friction-point evidence combined into one story
  • Phased recommendation across deploy-now, phase-with-monitoring, and reinforcement-first sites
  • Self-contained map, required CSV outputs, written report, and slide assets
  • Public-safe summary of private competition work

Technical Highlights

  • 6,895 eligible road segments modeled
  • 2,336 existing interurban chargers normalized after the tightened baseline filter
  • 1,839 grid nodes incorporated into deployment-readiness reasoning
  • 727,696 projected EVs used for the 2027 planning frame
  • 10 candidate network sites and 9 friction points converted into a phased rollout plan
  • One-command rebuild path for processed data, maps, CSVs, and report assets

Architecture

Data Pipeline

  • Load and clean raw public infrastructure and EV-growth data
  • Normalize processed tables and generated map-ready outputs
  • Validate the required File 1, File 2, and File 3 CSV deliverables

Strategy Layer

  • Identify corridor pain points and visible coverage wins
  • Cross-check candidate sites against grid-readiness signals
  • Translate infrastructure mismatch into a phased Iberdrola rollout narrative

Challenges & Solutions

1

Keeping assumptions explicit enough for judges and teammates to audit

2

Avoiding a naive charger-count answer when deployability and grid readiness matter

3

Making messy geospatial and infrastructure data pitchable

4

Representing private challenge work publicly without exposing internal repo details

Gallery

Iberdrola Datathon Screenshot 1
Iberdrola Datathon Screenshot 2