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CEO at WayOps
Combino la pasión por la tecnología y el saber hacer en los negocios en un único perfil estratégico con capacidad de ejecución. Tras estudiar una Ingeniería Superior en Informática y un Máster en Big Data & Business Analytics, he trabajado durante más de 7 años con tecnologías Software, Big Data, Machine Learning e IoT. En tanto que mis primeros pasos profesionales han sido en roles como programador, ingeniero de datos, científico de datos o arquitecto Data & AI, más adelante en mi carrera profesional he estado implicado en aspectos de dirección llevando a cabo tareas como la selección y reclutamiento de 25+ profesionales, gestión de proyectos de 500k, desarrollo de negocio por encima de 1M o la creación de nuevos productos y servicios de Transformación Digital. Actualmente, trabajo desde mi empresa WayOps desarrollando soluciones Data & AI e IoT en Cloud y ayudando en la Transformación Digital y Cognitiva de las empresas europeas. No dudes en contactarme ante cualquier desafío tecnológico donde yo o mi empresa podamos ayudarte!
CIFF Business School
Master, Big Data, Data Science & Business Analytics
January 1, 2015 – January 1, 2016
Universidad Autónoma de Madrid
Ingeniero Superior, Informática
January 1, 2005 – January 1, 2013
IES Valcárcel
FPII, Sonido
January 1, 2003 – January 1, 2005
Universidad Autónoma de Madrid
Licenciatura, Ciencias Físicas
January 1, 2001 – January 1, 2003
Zertia Telecomunicaciones S.L.
Head of Data & AI
January 1, 2021 – Present
Greater Madrid Metropolitan Area
WayOps
CEO
August 1, 2019 – Present
Madrid Area, Spain
SZENTIA
Head of Artificial Intelligence
March 1, 2019 – Present
Madrid, Community of Madrid, Spain
Enzyme Advising Group
Director
February 1, 2019 – August 1, 2019
Greater Madrid Metropolitan Area
TOKIOTA
Head of Data & AI
July 1, 2017 – December 1, 2018
Greater Madrid Metropolitan Area
CIFF Business School
Profesor Asociado Spark
December 1, 2016 – June 1, 2017
Greater Madrid Metropolitan Area
Strategy Big Data
VP Engineering & Head of Big Data
August 1, 2016 – July 1, 2017
Greater Madrid Metropolitan Area
BBVA Data & Analytics
Data Science Engineer
March 1, 2015 – July 1, 2016
Madrid, Madrid, España
GFT
Data Developer & Analyst
October 1, 2014 – March 1, 2015
Alcobendas, Madrid, España
CASER
Software Engineer
June 1, 2014 – October 1, 2014
Las Tablas, Madrid, España
Tecsisa
Software Engineer
January 1, 2014 – May 1, 2014
Las Tablas, Madrid, España
Vaelsys
Junior Software Engineer
September 1, 2012 – September 1, 2013
Tres Cantos, Madrid, España
Cloudy Develops
February 1, 2017 – Present
Cloudy Develops surge ante la necesidad de contar para nuestros desarrollos Big Data con un entorno remoto, multi-usuario y multi-herramienta, escalable y seguro. Combinando las ventajas de la tecnología Cloud con el IDE mas avanzado, podemos ofrecer un entorno de trabajo accesible mediante cliente VNC o navegador Web, desde el que trabajar de forma cómoda con nuestro código Scala, Python o SQL e interactuar de forma segura y controlada con cualquier Cluster Hadoop (On-Premise o Cloud) mediante Hive o Spark.
Corporate Perceptions
January 1, 2017 – Present
Bajo nuestro producto Corporate Perceptions estamos construyendo una solución que permite ofrecer analítica sobre la percepción de un negocio en tiempo real a través del análisis de sentimientos sobre redes sociales. En concreto, ingestamos mediante Spark Streaming datos de Twitter en tiempo real, realizamos un elaborado procesamiento del lenguaje mediante Spark ML y persistimos los datos sobre Cassandra. Posteriormente, el frontal construido en torno a ELK, extrae mediante LogStash los datos, los indexa mediante ElasticSearch y permite presentar la información en un Dashboard Kibana customizable.
Beam Suntory
August 1, 2016 – Present
Ayudando a Beam Suntory a realizar una transformación digital que actualice sus capacidades BI aprovechando las nuevas tecnologías Big Data, Cloud y de visualización. Actualmente estamos colaborando en 3 proyectos diferentes: - Commercial Effectiveness, dónde estamos definiendo e implementando un Data Lake sobre Cloud que de soporte a nivel global a todos los procesos BI de la plataforma comercial. - Ulysses, dónde estamos redefiniendo las capacidades de visualización, aportando expertise en las últimas tecnologías y técnicas, para enriquecer los dashboards de las distintas soluciones BI. - Marketing Analytics, dónde estamos utilizando técnicas Big Data & Data Science para ayudar al departamento de marketing a mejorar la segmentación de clientes y aportar información sobre tendencias.
Mining Massive Datasets
Stanford University
June 24, 2026 – Present
Certificate in Advanced English
University of Cambridge
June 24, 2026 – Present
The Data Scientist’s Toolbox
The Johns Hopkins University
June 24, 2026 – Present
Machine Learning Foundations: A Case Study Approach
University of Washington
June 24, 2026 – Present
Google Cloud Platform Fundamentals: Core Infraestructure
Google Cloud Certified
June 24, 2026 – Present
Computing, Storage and Security with Google Cloud Platform
Google Cloud Certified
June 24, 2026 – Present
Microsoft Professional Orientation : Data Science
Microsoft
June 24, 2026 – Present
Essential Statistics for Data Analysis using Excel
Microsoft
June 24, 2026 – Present
Program Management Foundations
June 24, 2026 – Present
Ingeniero en Informática (Master's Degree)
Universidad Autónoma de Madrid
June 24, 2026 – Present
M101J: MongoDB for Java Developers
MongoDB
June 24, 2026 – Present
Advanced Machine Learning
CIFF Business School
June 24, 2026 – Present
Programming with Python for Data Science
Microsoft
June 24, 2026 – Present
Título de Técnico Superior en Sonido (Associate's Degree)
Comunidad de Madrid
June 24, 2026 – Present
The Analytics Edge
Massachusetts Institute of Technology
June 24, 2026 – Present
R Programming
The Johns Hopkins University
June 24, 2026 – Present
Master en Business Intelligence & Business Analytics
Universidad de Alcalá
June 24, 2026 – Present
Machine Learning
Stanford University
June 24, 2026 – Present
DevOps: What, Why, and How
Dell EMC
June 24, 2026 – Present
Functional Programming Principles in Scala
EPFL
June 24, 2026 – Present
Google Cloud Platform for Systems Operations Professionals (Specialization)
Google Cloud Certified
June 24, 2026 – Present
Querying Data with Transact-SQL
Microsoft
June 24, 2026 – Present
Data Science Essentials
Microsoft
June 24, 2026 – Present
Introduction to Computer Science and Programming with Python
Massachusetts Institute of Technology
June 24, 2026 – Present
Introduction to Big Data with Apache Spark
University of California, Berkeley
June 24, 2026 – Present
Introducción al Business Intelligence
Universitat Oberta de Catalunya
June 24, 2026 – Present
Configuration Management on Google Cloud Platform
Google Cloud Certified
June 24, 2026 – Present
Designing Highly Scalable Web Apps on Google Cloud Platform
Google Cloud Certified
June 24, 2026 – Present
Analyzing and Visualizing Data with Power BI
Microsoft
June 24, 2026 – Present
Introduction to Python for Data Science
Microsoft
June 24, 2026 – Present
Principles of Machine Learning
Microsoft
June 24, 2026 – Present
Applied Machine Learning
Microsoft
June 24, 2026 – Present
Cultural Fit Analysis
The candidate's diverse experience across various companies (Zertia, WayOps, SZENTIA, Enzyme, Tokiota, BBVA, GFT) and roles (Head of Data & AI, CEO, Director, Data Science Engineer, Data Developer & Analyst) demonstrates adaptability and a broad understanding of different business contexts. The projects, ranging from developing remote Big Data environments to implementing real-time sentiment analysis and BI transformations, show a strong inclination towards innovation and problem-solving. The teaching experience at CIFF Business School also indicates a willingness to share knowledge and contribute to skill development. While the candidate has a strong background in Data Science and AI, the target role is 'Data Analyst'. This suggests a potential overqualification or a need to align expectations regarding the scope and depth of analytical tasks. The candidate's profile leans heavily towards leadership, architecture, and advanced data science, which might not be a direct fit for a pure Data Analyst role, potentially indicating a mismatch in cultural expectations for a more hands-on, less strategic position.
Soft Skills & Operational Fit
The candidate's resume highlights leadership, strategic thinking, and team management, indicating strong soft skills for senior roles. Experience as CEO and Head of Data/AI suggests a proactive and results-oriented work attitude. The project descriptions imply an ability to work in multi-user, multi-tool environments and collaborate on complex BI and analytics initiatives. However, without psychometric test results, a definitive assessment of stress handling and team collaboration is limited.