Alfonso Campos
Data AnalystAI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
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.