CV

Education

• Ph.D in Statistics for Data Science, Universidad Carlos III de Madrid, 2024 - present
  • Thesis: “Statistical Learning Methods Based on Distances and Depths for Large-Scale Data with Complex Structure”
  • Supervisor: Prof. Aurea Grané Chávez
• M.Sc. in Big Data Analytics, Universidad Carlos III de Madrid, 2023 - 2024 (GPA: 8.6/10)
• B.Sc. in Statistics and Business, Universidad Carlos III de Madrid, 2019 - 2023 (GPA: 8.5/10; best academic record of the 2019-2023 cohort)

Work experience

• 09/2024 - present: Data Scientist
  • UC3M-Santander Big Data Institute (IBiDat)
  • Duties included: data analysis and modeling, machine learning, generative AI systems, time series forecasting, software development and automation (Python, Git, APIs, Docker, MongoDB), technical documentation and reporting
  • Selected projects: demand estimation for public parking and interurban public transport (Grupo Ruiz); a GenAI virtual assistant and an automated video clip generation/evaluation tool (Universia - Banco Santander); research on the impact of generative AI in education
• 01/2025: Python Programming Instructor
  • ANBAN Data Science Bootcamp
  • Duties included: designing and teaching the Python Programming for Data Science module
• 04/2024: Machine Learning Instructor
  • Saturdays AI & ANBAN, Universidad de Elche
  • Duties included: teaching a session on supervised classification

Skills

• Programming & tools: Python, Git, APIs, Docker, MongoDB
• Statistics & Machine Learning: robust statistics, distance- and depth-based methods, clustering, statistical/machine learning modeling
• Forecasting: time series forecasting
• Generative AI: LLM-based systems design and evaluation
• Documentation & technical reporting
• Languages: Spanish (native), English (B2, Linguaskill English Test - Cambridge)

Publications

Data Science for Decision-Making in Public Health: A robust Clustering Approach for Large-Scale Weighted and Mixed-Type Socio-Economic Data

Albarrán, I., Grané, A., & Scielzo-Ortiz, F. (2026). "Data Science for Decision-Making in Public Health: A robust Clustering Approach for Large-Scale Weighted and Mixed-Type Socio-Economic Data." (Submitted for publication at Socio-Economic Planning Sciences).

Quantifying Global Polarization: Detection and Analysis of Opinion Groups on the Gaza Conflict at International Level Based on Reddit Data

Scielzo-Ortiz, F., Grané, A., & Díaz-Gorfinkiel, M. (2026). "Quantifying global polarization: Detection and analysis of opinion groups on the Gaza conflict at international level based on Reddit data." (Submitted for publication).

Evaluating the Educational Impact of an LLM Virtual Assistant in Video-Based Learning

Scielzo-Ortiz, F., et al. (2026). "Evaluating the educational impact of an LLM virtual assistant in video-based learning." (Submitted to Journal of Computer Assisted Learning).

New Distance-Based Robust Clustering Algorithms for Large Mixed-Type Data

Grané, A., & Scielzo-Ortiz, F. (2026). "New distance-based robust clustering algorithms for large mixed-type data." Advances in Data Analysis and Classification. https://doi.org/10.1007/s11634-026-00701-9

On generalized Gower distance for mixed-type data: extensive simulation study and new software tools

Grané, A., & Scielzo-Ortiz, F. (2025). "Robust distances for mixed-type data: Robust generalized Gower and robust related metric scaling." Statistics and Operations Research Transactions (SORT). https://doi.org/10.57645/20.8080.02.28

Talks

XLII National Congress in Statistics, Operations Research and Data Science (SEIO 2026)

September 05, 2026

Oral presentation at XLII National Congress in Statistics, Operations Research and Data Science (SEIO 2026), Universidade de Santiago de Compostela, Santiago de Compostela, Spain

19th Conference of the International Federation of Classification Societies (IFCS 2026)

July 14, 2026

Conference attendance at IFCS 2026 - Classification, Machine Learning and Statistical Methods: from Data to Discovery, University of Milano-Bicocca, Milan, Italy

XIII Jornada Estadística UAM (2026)

June 12, 2026

Oral presentation at XIII Jornada Estadística UAM, Departamento de Matemáticas, Universidad Autónoma de Madrid, Madrid, Spain

VII International Workshop on Proximity Data, Multivariate Analysis and Classification (AMyC 2026)

April 16, 2026

Workshop attendance at VII International Workshop on Proximity Data. Multivariate Analysis and Classification (AMyC Group / SEIO), Universidad de Salamanca, Salamanca, Spain

XLI National Congress in Statistics, Operations Research and Data Science (SEIO 2025)

June 01, 2025

Oral presentation at XLI National Congress in Statistics and Operations Research (SEIO 2025), Lleida, Spain

3rd Conference of the Statistics and Data Science Group of the Italian Statistical Society (2025)

April 01, 2025

Oral presentation at 3rd Conference of the Statistics and Data Science Group of the Italian Statistical Society, Milan, Italy

VI International Workshop on Proximity Data. Multivariate Analysis and Classification (AMyC 2024)

November 01, 2024

Oral presentation at 6th International Workshop on Proximity Data, Multivariate Analysis and Classification, Girona, Spain

Teaching

Python Programming for Data Science

Machine Learning: Supervised Classification

Service and leadership

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