Roger González March

Urban Data Scientist | ML Researcher | Freelance

Barcelona, Catalonia

About

As a Data Scientist and Physicist, I specialize in transforming complex urban data into insights that guide impactful, people-centered change. With a background in AI and urban digital twins, I leverage data to help predict and visualize how interventions affect interconnected aspects of city life, from air quality to energy efficiency. Passionate about the intersection of science, analytics, and urban innovation, I strive to develop transparent, data-driven solutions that make cities more livable and resilient.

Experience

Barcelona Supercomputing Center

Urban Data Scientist

2024 - Actual

Leading the development of models for urban mobility at the Barcelona Supercomputing Center. In this role, I am responsible for determining optimal locations for new bike lanes and simulating their impact on residents and local neighborhoods, providing data-driven insights for the Barcelona's City Council. I apply network science, machine learning, and FastAPI to analyze urban data, optimize infrastructure planning, and simulate outcomes. Additionally, I contribute to the 'Climate Shelters in Barcelona | vCity' project, focusing on hybrid work environments to enhance urban planning and climate resilience. I work on developing the Urban Digital Twin project (vCity), which uses municipal data to create detailed virtual models of the city, allowing simulations to inform decision-making.
Eurecat

Internship Data Scientist

2024 - 2024

Engaging in the 'Complexity of Information Dynamics' project to analyze disinformation spread on social networks. Reviewing AI/Deep Learning models for disinformation detection, developing deep learning models to predict content virality, and visualizing network data for trend analysis.
Universitat Pompeu Fabra

ML Researcher for Planetary Health

2023 - 2024

Applying machine learning and NLP techniques for analyzing academic and research agendas. Conducted network analysis to map the relationships between Sustainable Development Goals and UPF's academic outputs. Implemented BERT-based language models and employed data mining to uncover complex data patterns.
SDG Group

Data Analyst - Tableau Developer

2022 - 2023

Specialized in data visualization and analytics in one of the largest pharmaceutical companies, turning complex data into actionable insights for business and technical audiences. Leveraged Tableau, SQL, and Python to simplify data access and improve integration. Created impactful reports and dashboards, resolved technical issues, and collaborated with international teams using Agile methodologies.
Universitat Politècnica de Catalunya

Data Analyst at CERN n_TOF Facility

2021 - 2022

Developed and implemented digital signal processing algorithms using the C++ ROOT framework. Implemented digital filters for neutron detectors, reconstructed spectra under high-pileup conditions, and analyzed measurement data to evaluate electronics behavior.
CCiTUB

Raman Spectroscopy Researcher

2020 - 2022

Conducted research using Raman spectroscopy techniques, developing skills in scientific analysis and instrumentation.

Awards

Hackathon Winner at the Open Data Bizkaia AI Datathon 2024
Lantik S.A., BizkaiaTech, Bizkaiko Foru Aldundia / Diputación Foral de Bizkaia

2024

Developed an application analyzing 20,000 reviews to create an interactive map of Bizkaia's beaches, ranking them based on visitor sentiments. The project combined open data, artificial intelligence, and innovative perspectives on the region to promote tourism and gain deeper insights into the visitor experience.
Finalist at the Sahlgrenska Global Health Hackathon 2025
Sahlgrenska Global Health Hackathon, Barcelona

2025

Developed 'SmartCAP', a real-time monitoring system to track healthcare facility saturation and detect potential local outbreaks. The project aimed to create a digital twin of Barcelona’s urgency centers to predict peak times, optimize resource allocation, and improve accessibility, using technologies such as Next.js, React, Mapbox API, OpenRouteService API, and R Shiny.

Education

Universitat Pompeu Fabra, Barcelona

2023 - 2024

Master's Degree in Intelligent Interactive Systems
Universitat de Barcelona

2017 - 2021

Bachelor's Degree in Physics

Projects

SmartCAP - Sahlgrenska Global Health Hackathon Finalist •

Developed SmartCAP, a real-time healthcare monitoring system to track healthcare facility saturation and detect potential local outbreaks before they escalate. The project was built as part of the Sahlgrenska Global Health Hackathon and aims to predict peak times, optimize resource allocation, and improve accessibility for elderly patients using real-time data and innovative tools.

Real-Time Healthcare MonitoringDigital Twin of Healthcare FacilitiesMapbox API for Real-Time VisualizationOpenRouteService API for Accessibility AnalysisR Shiny for Outbreaks DashboardHackathon Finalist
Ranking de Playas de Bizkaia - Hackathon •

A personal project developed end-to-end, featuring data scraping, sentiment analysis, and modeling based on Google Maps reviews. The project includes an interactive Mapbox map and a scrollytelling interface to present the results intuitively and engagingly.

hackathon WinnerData ScrapingSentiment AnalysisInteractive MappingScrollytelling
Traffic Cam Photobooth BCN •

A web app that helps users find the nearest traffic camera in Catalonia (especially Barcelona) and take a selfie with it! 🎥📸 This project aims to raise awareness about constant surveillance in urban areas in a fun and engaging way.

Urban SurveillanceWeb ApplicationGeolocationPublic Awareness
Climate Shelters in Barcelona •

Storytelling with reveal.js and CARTO on the accessibility of climate shelters in Barcelona, focusing on vulnerable populations during heat waves. The research assesses current coverage, identifies gaps, and proposes solutions to improve access to shelters by 2030.

Urban PlanningClimate ResilienceSocio-demographic AnalysisCARTO
Twitter Rumor Detection with BERT Adapter •

Research project using the BERTweet model and custom adapters to classify the stance of tweets in relation to rumors.

NLPBERTTransfer LearningSupervised ML
Evaluating ChatGPT for Improving Scientific Writing Based on Readability

Research paper published in MERE 2023, examining the use of ChatGPT to enhance scientific readability through various prompt engineering and statistical techniques such as zero-shot, few shot, Shapiro-Wilk test and Mann-Whitney test.

Prompt engineering techniques Readability metricsCoherence metrics
Find My Kebab •

An interactive map that classifies kebab shops in Barcelona into color-coded tiers based on reviews and sentiment analysis.

Web scrapingGoogle Maps APIMapboxOpenStreetMapSentiment analysisTopic modeling
Data Analysis of 3He Gas-Filled Detectors

A research paper detailing a digital pulse analysis methodology for 3He gas-filled neutron counters at the CERN n_TOF facility. The study utilized fast digitizers, HTCondor for high-throughput computing, and signal differentiation techniques for improved event identification and calibration.

Digital pulse analysisCERN n_TOFHTCondor/SlurmC++ROOTSignal differentiation

Skills

Python
Jupyter
Pandas
Scikitlearn
PyTorch
TensorFlow
spaCy
SQL
AWS
Snowflake
Tableau
Git
SLURM
HuggingFace
HTML
Mapbox
CARTO
GeoPandas
Networkx
osmx
NextJS
React
FastAPI
Postgres