FJAbout Francisco José
🚀 Curious by nature and data-driven by design, I’m a Data Scientist with a background in Physics and a passion for building solutions that make sense — both technically and practically.
I enjoy working across the full data lifecycle: from wrangling messy datasets to delivering clear insights through dashboards or predictive models. Whether it's automating workflows, exploring patterns, or deploying tools that support real decisions, I love solving real-world problems with clean, interpretable solutions.
🛠️ Toolbox Highlights:
🔹 Python, R, SQL – from Pandas to Scikit-Learn and TensorFlow
🔹 Visualization with Power BI, Tableau, and ArcGIS
🔹 Cloud & Automation with Docker, Airflow, and AWS (currently training)
💡 I thrive in collaborative environments — especially where I can bridge technical depth with non-technical impact. My recent work includes environmental data systems, habitability analysis in volcanic zones, and audience modeling for the cultural sector.
🎯 Always learning. Always building. Always curious.
🔗 Check out my portfolio to see what I’ve been working on!
Spanish
Native or bilingual
English
Conversational
Remote only
Primarily works remotely
Experience
- Cabildo of La PalmaData ScientistINTERNET OF THINGS (IOT)January 2024 - January 2025 (1 year)Santa Cruz de La Palma, Spain• Led EDA using Python (Pandas, Matplotlib, Seaborn) and R (ggplot2, dplyr) across 5+ datasets (mobility, night sky, meteorology, air quality). Found ~0.6 Pearson correlation between CO₂ and tidal cycles, suggesting gas buildup tied to tides. This led the Emergency Dept. to revise coastal safety protocols post-eruption.• Created dashboards in Power BI and Tableau for Waste Management and HR. The HR dashboard segmented 1,000+ employees by role and department. The waste dashboard showed recycling unit growth linked to more paper, glass, and packaging collected, justifying changes in the annual report.• Built real-time dashboards in ArcGIS Online, including mobility (vehicles/pedestrians) and a digital twin for CO₂ in Puerto Naos. The Emergency Dept. uses the CO₂ dashboard daily for habitability checks, while others serve internal analytics.• Cleaned and integrated a legacy dataset (3M+ records) into the Cabildo’s meteorological portal. Fixed format issues and created metrics like thermal sensation. Extended public archive from 2022 back to 2016, supporting long-term climate analysis and dashboards.• Proposed a PostgreSQL schema for CO₂ sensor tracking. Automated alias creation from address initials and linked installer/ownership data from private forms to public tables. Ensured consistent, centralized data access for future deployments.
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Education
- MSc in Data ScienceOpen University of Catalonia (UOC)2025Master’s Thesis: Developed a sales forecasting and audience segmentation system for Filarmonía de Madrid using real ticketing data, applying machine learning models (Random Forest, CNN’s, RNN’s, ARIMA), clustering techniques (K-Means, DBSCAN), and RFM analysis, while integrating external event data and addressing overfitting through cross-validation and hyperparameter tuning.
- BSc in PhysicsUniversity of La Laguna (ULL)2021Bachelor’s Thesis: Analyzed the intrinsic properties of the EMIR instrument (GTC, IAC) through image-based photometric calibration, using Python scripts to extract parameters such as linearity, gain, and sensor drift under varying conditions, and documenting results following scientific standards with LaTeX.