"I am an architect who thinks with data and an analyst who designs with spatial vision."

This repository serves as my professional portfolio, reflecting my strategic transition into the world of data. Through advanced end-to-end projects and specialized postgraduate training, I apply my expertise in data analysis, Business Intelligence, and Big Data architecture to solve complex business and spatial problems.

I am an architect holding a Master’s degree in Project Management alongside a Master's degree in Big Data and Artificial Intelligence.

My unique background combines over 10 years of international project management experience with advanced data engineering techniques. This trajectory allows me to approach modern tech challenges with a highly strategic, analytical, and spatial perspective—successfully transforming chaotic, raw datasets into informed, impactful, and effective business decisions.

TRIP_U: Emotion-Based Personalized Travel Recommendation System via NLP Master's Thesis (TFM).

• Academic Recognition: Awarded a 9.13/10 by the academic tribunal, receiving high praise for its originality, visual analytics, and high-impact presentation.
• Technical Core: A complete end-to-end data pipeline that integrates Natural Language Processing (NLP) for emotional context detection, customized recommendation modeling, and advanced Out-of-Domain (OOD) detection to ensure system robustness.
• Visualization: Features interactive spatial flow maps engineered in Plotly and multi-dimensional radar charts for business metrics.

RBW BOX: Algorithmic Traceability System for Generative Architecture Environments Master's Research & Framework

• Core Investigation: A multifaceted research project developed during the Master's program exploring the social, creative, and epistemological boundaries of automated computational design and human-AI architectural authorship.
• The Empirical Pipeline: Implements a quantitative data pipeline that structures, cleans, and standardizes socio-technical survey variables, transforming raw text-based inputs into a mature dimensional model (star schema) inside Power BI.
• The Structural Proposal: Prototypes an Algorithmic Traceability System via a relational SQL schema designed to log data provenance, trace human-AI design lineage, and ensure transparent workflows in generative environments.

Social Data Storytelling: Can Education Prevent Hate? Advanced Data Visualization Project

• Academic Recognition: Awarded a near-perfect 9.9/10 (Matrícula de Honor), recognized as the top-tier capstone project for the Data Visualization module.
• The Core Investigation: Built with a strong emphasis on Data Storytelling, this project transforms raw data into a compelling journalistic narrative. It analyzes the complex, non-linear relationships between hate crimes, educational levels, and social awareness metrics using real-world regional datasets.
• Technical Analytics: Developed entirely in Python, leveraging libraries such as Matplotlib, Seaborn, and Plotly to engineer advanced, high-impact visualizations and exploratory charts that expose deep, counterintuitive socio-political insights.

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)