J User
@juser4
Interdisciplinary data scientist with a PhD in Machine Learning.
What I'm looking for
I am an interdisciplinary data scientist with a PhD in Machine Learning, dedicated to combining my expertise in applied research and algorithmic innovation to drive impactful projects. My experience spans diverse contexts, from large-scale geospatial modeling to telematics-based driver risk analysis, showcasing my ability to lead projects from inception to completion.
As the Co-founder and CTO of AiCare Telematics, I spearheaded the development of a real-time tracking dashboard and a GPS-based driver scoring engine. My leadership in national-scale data science projects has resulted in significant insights, such as identifying overspeed trends and mapping high-risk zones, which have informed insurer scoring models and enhanced road safety.
In addition to my technical skills in Python, SQL, and various machine learning frameworks, I have a strong foundation in civil engineering and architecture, which complements my data science expertise. I am passionate about leveraging data to solve complex problems and contribute to innovative solutions that make a difference.
Experience
Work history, roles, and key accomplishments
Team Leader – Machine Learning
SIMRIS, University of Seville
Jan 2022 - Apr 2024 (2 years 3 months)
Developed a Variational Autoencoder for building typology extraction and automated structural model generation for seismic analysis, achieving significant speed improvements in city-scale risk simulations.
Co-founder & CTO
AiCare Telematics
Jan 2020 - Apr 2023 (3 years 3 months)
Led the development of a real-time tracking dashboard and a GPS-based driver scoring engine. Directed national-scale data science projects, including speed mapping and road risk analytics, resulting in significant insights for driver safety and risk management.
Founder & Developer
Self-City
Jan 2021 - Feb 2021 (1 month)
Developed a GIS platform to scrape and visualize housing prices across 8,000 Spanish towns, beta-tested at the Urban Council of Seville.
Robotic Prototyping Project
ETH Zurich
Jan 2020 - Feb 2020 (1 month)
Led a project utilizing Python and KUKA robotics for robotic prototyping, resulting in a structure permanently exhibited at ETH Zurich campus.
Data Visualization Consultant
SELFIE, European Commission (JRC)
Sep 2018 - Sep 2018 (0 months)
Designed dashboard visualizations for an EU-wide education readiness tool, utilized across European schools for policy and institutional reporting.
Education
Degrees, certifications, and relevant coursework
University of Seville
PhD in Artificial Intelligence, Artificial Intelligence
2022 - 2024
Built a Variational Autoencoder (VAE) to extract building typologies from ~1M cadastral records. Automated structural model generation for nonlinear seismic analysis using OpenSees for ~4k buildings.
University of Seville
Master of Engineering, Machine Learning
2018 - 2019
Trained a neural network to predict seismic response of RC buildings; achieved accuracy 97.65% predicting stress-deformation curves. Generated 12k+ synthetic structural models and automated SAP2000 nonlinear analyses.
Architectural Association
Postgraduate Studies in Computation & Architecture, Architecture
Postgraduate studies focused on Computation & Architecture, ranked top 10 worldwide.
University of Seville
MEng Civil Engineering, Civil Engineering
Tech stack
Software and tools used professionally
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