Roger González March

ML Researcher for Planetary Health

Barcelona, Catalonia

About

I'm a physicist and data scientist diving into the world of AI. I excel in graphically representing complex data through aesthetics and design. Experience in computational social science and planetary health. I'm eager to explore opportunities where I can fuse science, analytics, and creativity to forge innovative solutions.

Experience

Barcelona Supercomputing Center

Urban Digital Twin Developer

2024 - Actual

Contributing to the development of urban digital twins, including the implementation of cartographic data and the use of tools like CARTO. Participating in the 'Climate Shelters in Barcelona | vCity' project, focusing on hybrid work environments to enhance urban planning and climate resilience.
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.

Education

Universitat Pompeu Fabra, Barcelona

2023 - Actual

Master's Degree in Intelligent Interactive Systems
Universitat de Barcelona

2017 - 2021

Bachelor's Degree in Physics

Projects

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