"I am an architect who thinks with data and an analyst who designs with spatial vision."
I am an architect holding a Master’s degree in Project Management alongside a Master's degree in Big Data and Artificial Intelligence.
My profile is built on a solid foundation of over 10 years of international experience in Project Management and Architectural design, which I have now augmented with advanced technical capabilities in data engineering and machine learning.
This hybrid background allows me to approach modern tech challenges with a unique dual perspective: I combine the strategic, high-stakes decision-making of a veteran project manager with the analytical rigor of a data scientist.
Master’s Thesis Project - Graded 9.13/10 for its originality and interdisciplinary approach
A personalized travel recommendation system combining NLP, emotion detection, and recommendation logic to explore how user sentiment can improve travel suggestions.
Tools & Topics: Python, NLP, Plotly, recommendation systems, exploratory visualization.
Business Intelligence & Operational Analytics Project
Business Intelligence project focused on portfolio tracking, operational KPIs, and resource allocation for a multi-regional architecture and real estate environment.
Tools & Topics: Power BI, SQL, dimensional modeling, Folium, portfolio analytics, dashboard design.
Research & Data Governance Project
Research-oriented project exploring transparency, traceability, and data governance in AI-assisted architectural design workflows.
Tools & Topics: SQL, ETL processes, Power BI, data governance, generative design research.
Data Visualization Project - Awarded with Honors (Matrícula de Honor)
Data storytelling project analyzing possible relationships between education, regional development, and hate crime indicators through exploratory visualization.
Tools & Topics: Python, Matplotlib, Seaborn, Plotly, social data analysis, storytelling.
Data Governance & Documentation Project
Bilingual technical taxonomy and documentation framework designed to improve consistency and terminology management across architecture and infrastructure workflows.
Tools & Topics: Master data management, documentation systems, governance frameworks, BIM terminology.
Machine Learning & Customer Analytics Project
Customer segmentation project using unsupervised learning techniques to identify behavioral patterns and support data-driven insurance campaign strategies.
Tools & Topics: Python, clustering, feature engineering, customer analytics.
The main goal of this workspace is to document and showcase my production-ready developments in data science, advanced analytics, and business intelligence. It includes real-world applications demonstrating how computational tools can be blended with strategic management and spatial analysis to optimize technical and business outcomes.
- Power BI: Advanced relational modeling, star schema design, and creation of interactive corporate reports.
- Tableau: Dynamic, accessible data visualization and storytelling dashboards.
- Carto: Spatial, geospatial data analysis, and territorial intelligence.
- Python: Advanced data analysis, Machine Learning architecture, NLP modeling, and programmatic process automation.
- SQL: Relational database management, complex queries, and data structuring.
Although my primary focus is data analytics, I leverage an extensive background in structural thinking and agile workflows:
- BIM & Design: Revit, AutoCAD, SketchUp, 3D Studio Max & Photoshop.
- Project Management: Microsoft Project & Agile Methodologies (Scrum & Kanban frameworks).
Let's discuss data, spatial analytics, architecture or potential collaborations!
- Email: jcristobalfdez@gmail.com
- GitHub: JC-datarchitect
- Languages: Spanish (Native) | English (Professional)