Dr. David Millán

- Sporadic lecturer at EAE Business School (Big Data Workshops and seminars). - Lecturer of the course entitled “Big Data within the enterprise” at U-TAD. - Camilo José Cela University, EAE Business School and U-Tad belong to the Planeta Group where I am a training provider.

- Chief Operating Officer (200+ people), directly reporting to the CEO. - Chief Strategy Officer for big data applications, analytics, business intelligence, security and smart cities.

- VP Big Data: architects, developers, business consultants and data scientists (50+ people). - Multiproduct director: definition of the portfolio of analytical big data solutions, which provide significant, competitive advantage (business perspective of the application of different technologies). - Definition of the business plan and IT roadmap. - Big Data projects for banking, telco, insurance, retail, security, public administration and utilities. - Strategy consultancy

- Group of Parallel Architectures and Bio-inspired Algorithms - Publications in international conferences and journals on data mining, forecasting and combinatorial optimisation - Reviewer of journal articles and conference papers.

- Coordination of the group of propensity models. - Master of user modelling and technology specialist. - Big Data Analytics (over Hadoop). - Product management, definition and exploitation. - Management of national and international projects about viral churn contagion, viral marketing and viral customer acquisition for the prepaid, postpaid and SOHO segments (for different OBs across the world). - Presentation and "selling" of results to the OBs. - Analytical models.

- Management of subsidised European projects on data mining. - Viral churn detection & prevention and viral marketing for Telefónica Spain (fixed line) and O2 UK. - Design and development of algorithms and models for event spreading and community identification for large (phone call based and online) social networks. I also have a patent on this. - For a variety of classification tasks, resolving the ambiguity in the problem statement and proposing an adequate analytical model. - User profiling.

- Innovation for the national railway company of Spain (RENFE). - Follow up on project activities. - Vendor evaluation. - Optimisation algorithms for the national railway company of Spain. - Subsidised projects. - Market research.

- Data Analyst at the department of business software engineering. - ERP software development. - Extensive use of databases to manage and analyse statistics. - Designing, implementing and debugging complicated Transact-SQL stored procedures and functions that drive financial calculations. - Risk & analytical models for financial institutions and insurance.

Junior researcher at the department of artificial intelligence, leading the research project entitled "Comparison of heuristics for the p-hub and QAP problems".

Development of applications in Visual Basic for several SME's such as Pulpillo S.L., Novedades Marta, Luminosos Ruvira, etc.

Dissertation: "Evolutionary techniques to preserve biodiversity in QAP" (Summa Cum Laude)

Thesis: Parallel Memetic Algorithms for the Problem of Workforce Distribution in Dynamic Multi-Agent Systems (Summa Cum Laude)

- Dissertation: "Comparison of bio-inspired algorithms for p-Hub and Quadratic Assignment Problems". (Honours)

Specialised in Artificial Intelligence and Complex Algorithms.

Strong focus on business management, economy and computer science.