I'm a data scientist and statistician based in Spain, focused on turning data into actionable insights across real estate, retail, and professional services. I enjoy taking projects from data exploration to deployment, building predictive models and decision tools, and delivering user-friendly interfaces and automated workflows. As a freelance biostatistician and data scientist, I collaborate on clinical and epidemiological projects, applying methods such as GLM, mixed models, survival analysis, multivariate analysis, and machine learning in R. I also develop interactive Shiny apps to help teams interpret models and contribute to high-impact publications.…

Marc Pastor Pou

I'm a data scientist and statistician based in Spain, focused on turning data into actionable insights across real estate, retail, and professional services. I enjoy taking projects from data exploration to deployment, building predictive models and decision tools, and delivering user-friendly interfaces and automated workflows. As a freelance biostatistician and data scientist, I collaborate on clinical and epidemiological projects, applying methods such as GLM, mixed models, survival analysis, multivariate analysis, and machine learning in R. I also develop interactive Shiny apps to help teams interpret models and contribute to high-impact publications.…

Available to hire

I’m a data scientist and statistician based in Spain, focused on turning data into actionable insights across real estate, retail, and professional services. I enjoy taking projects from data exploration to deployment, building predictive models and decision tools, and delivering user-friendly interfaces and automated workflows.

As a freelance biostatistician and data scientist, I collaborate on clinical and epidemiological projects, applying methods such as GLM, mixed models, survival analysis, multivariate analysis, and machine learning in R. I also develop interactive Shiny apps to help teams interpret models and contribute to high-impact publications.

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Skills

Experience Level

Data Science
Expert
Python
Expert
R
Expert
Data Visualization
Expert
SQL
Expert
Power BI
Expert
Tableau
Expert

Language

Spanish; Castilian
Fluent
Catalan; Valencian
Fluent
English
Fluent
German
Beginner

Work Experience

Data Scientist at Viselab
June 1, 2025 - Present
Built predictive models and decision tools for clients in real estate, retail, and professional services, from data exploration to deployment, including web interfaces and automation workflows.
Biostatistician at Datexbio
July 1, 2024 - Present
Freelance statistician collaborating on clinical and epidemiological projects. Applied advanced statistical methods (GLM, mixed models, multivariate analysis, survival, machine learning) in R, and developed interactive Shiny applications to facilitate interpretation of models. The analyses contribute to high-impact scientific publications.
Data Science Intern at NTT Data
June 1, 2024 - October 13, 2025
Supported the development of Endesa’s sales reporting system using SQL, Python, and QlikView. Focused on data extraction, automation, and dashboard maintenance in collaboration with the sales and BI teams.
Data Analyst Trainee at JLL
December 1, 2023 - October 13, 2025
Automation and reporting tasks within asset management and sustainability teams. Built tools using Excel VBA and Power BI dashboards to optimize inspection reports (e.g., for Repsol). Participated in sales forecasting projects for clients like Puig by preparing and validating datasets.

Education

BSc in Statistics and Business at Universidad Carlos III de Madrid
January 1, 2019 - January 1, 2024
MSc in Statistics for Data Science at Universidad Carlos III de Madrid
September 1, 2025 - January 1, 2027

Qualifications

Add your qualifications or awards here.

Industry Experience

Real Estate & Construction, Professional Services, Retail, Software & Internet, Life Sciences
    paper Implementing Predictive Models for Early Diagnosis of Pediatric Respiratory Viral Infections

    Collaborated in this project through Datexbio, contributing to the statistical analysis and predictive modelling. Specifically, I participated in the development of machine learning models for early diagnosis of pediatric respiratory viral infections, based on symptom data. The study resulted in a peer-reviewed publication in Viruses (MDPI).

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