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Data Scientist and AI consultant. Data analytics, data-driven and AI-based Solutions for engineering and industrial problems. PhD in Computer Science and Artificial Intelligence with 18+ years of experience in research and education (undergraduate and postgraduate levels).

Since 2018 working (designing, developing and providing business value) in a focussed and organised manner towards delivering Business-Driven AI-based solutions in Airline and Engineering (Transportation, Defence and Air Traffic Management) companies. Projects for Data Exploitation (Forecasting, Predictive Maintenance), Face Recognition, Monte Carlo Simulation, and Optimization. Trying to adopt Methodologies (CRISP-DM, TDSP and CPMAI) to provide the foundation needed for AI project success. Project planning and Team coordination, also with both stake holders and other teams related to Data Engineering and Business Intelligence, working with external providers. Also, supervising, leading, AI and Data Science teams (+6 people), and work close to AI unit manager.

Associate Professor (Interim) at UC3M; 50+ international publications, work on 8 research projects, most of them for advanced driver assistance systems (traffic sing recognition, driver monitoring); 2 PhD Thesis as advisor; organisation of 6 development cooperation projects (founding, development, and strengthening of the Research and Technological Development Unit at UNAN-Managua, Nicaragua).

Since 2012, Positive assessment as Associate Professor (Profesor Titular) by ANECA

18 years of research in machine learning (artificial neural networks, genetic algorithms, ensembles), applied to classification (traffic sign recognition), regression, and time series forecasting. 18 years of teaching in computer science on different subjects: programming, theory of automata and formal languages, compilers, and computational complexity.

• Programming Languages (I've been working/teaching/learning): Python (Data, ML, Data Visualization Libraries), Matlab, C, Pascal, Java
• Databases: SQL
• Tools for Data Analysis/Visualization: Weka, Knime, Power BI, Tableau
• Machine Learning Algorithms (models): Trees, Artificial Neural Networks, Evolutionary Computation (Genetic Algorithms, Differential Evolution, Estimation Distribution Algorithms), Support Vector Machines, Fuzzy, Ensembles (Random Forests, XGBoost)
• Time Series (forecasting): Statistical (ARIMA), Artificial Neural Networks, Support Vector Machines
• Computer Science: Automata and Formal Languages (Regular Expressions, Free Context Grammars), Compilers (Lexer, Parser), and Computational Complexity

AI Expert and Senior Consultant at IFT Digital Labs. Provide support and working on AI-related parts on proposals and Call for Tender (iNM EUROCONTROL, Consorcio Regional de Transportes de Madrid). Defining, Planning, Developing, Supervising and Managing both Proof of Concepts and Projects on AI-based Solutions for Indra main Markets (Face Recognition, Predictive Maintenance, Traffic Flow, passenger predictions at security checkpoint). Working with Business Stakeholders to achieve AI-based products. Working as part of a team to Also, collaborating on defining the procedures, methodology and resources for the AI Unit within IFT Digital Labs.

Business Consultant and Data Scientist Lead in Flight Schedule and Operations on an airline company (Vueling), working with stakeholders and business areas to engage and align with them the development of AI/Data Science solutions, providing additional capabilities to different business areas to take decisions. Projects and Solutions on: Network Schedule Simulation based on flight and airports operation performance; Time Series Forecasting of regulated flights; re-timing and re-routing for Planning Network Schedule; application of Congestion Avoidance System tool on Operational Control Center. Also, applying AI/Data Science Methodologies to establish the AI-Project Development Methodology for the company. Since Dec. 2018 as Data Scientist Lead for group of 4 Data Scientists; Working with external providers (General Electric) on Delays and Crew optimization.

Research in machine learning, computational intelligence (artificial neural networks, genetic algorithms, ensembles), applied to classifications (traffic signs recognition), regression, and time series forecasting. Research Projects, work in 8 research projects funded by the Spanish Ministry of Economy, Industry, and Competitiveness (mineco), the European Union, and the Region of Madrid.

• Sistema de Ayuda para una Conducción Urbana más Segura (mineco 2016 –2018)
• Intelligent Agent-Based Driver Decision Support (mineco 2012–2014)
• Sistema Inteligente de Ayuda a la Conducción basado en Agentes (mineco 2011)
• TRAINing and NUTRItion Senior Social Platform (Ambient Assisted Living Program 2010 - 2012)
• Fusión de Datos mediante Conjunto de Clasificadores para la Detección de Objetos Móviles en Entornos Dinámicos (Region of Madrid, 2011)
• Pedestrians, Cyclists and Bikers. Sensor Fusion (Spanish Ministry of Science and Innovation, 2007 -2010)
• Classifier Ensemble for Intelligent Process of Road Traffic Sign (Region of Madrid, 2007)
• Advance Driving Assistance System for Urban Environments: Artificial Intelligence (Spanish Ministry of Science and Innovation, 2004 -2007).

Development Cooperation Projects. Manager in 6 projects, funded by the AECID and by Universidad Carlos III de Madrid, funding, developing and improving the UIDT-Carazo and USAV-Carazo in UNAN-Managua (Nicaragua).

Management: teaching management at research group CAOS; coordinator several subjects (up to 5 teachers involved) Teaching: Coordination (in charge of) several subjects since 2004: Programming, Theory of Automata and Formal Languages, Advanced Theory of Computation (Computational Complexity). Subjects in Computer Science: Programming, Theory of Automata and Formal Languages, Compilers, and Computational Complexity.

Ph.D Co-Advisor (2), 4 Master final projects (and more than 10 Undergraduate final projects). PhD Academic Committee in Computer Science at UC3M

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2005 Ph.D. in Computer Science and Artificial Intelligence, UC3M 1999 M.Sc. (5 years) in Physics (Cálculo Automático), UCM 2005 Summer School on Pattern Recognition, Plymouth UK, July 2005

English: High-Level, FCE/B2, and +200 teaching hours on Programming (1st year) and Automata Theory (2nd year).