Marc Diaz-Aguilo Email & Phone Number

Balearic Islands, Spain

Basel, Baselstadt, Ch

Acting as Chief Data & Analytics OfficerLead all the Data & Analytics related teams:- Data Strategy- Business Intelligence- Operational Analytics (Field Force Effectiveness and Incentives)- CRM, Salesforece marketing cloud and Data systems- Market Research and Market Insights- Data Science and Artifical Intelligence- Data Engineering and Data PlatformOur teams have as main objective to support decision making, optimise operations, drive customer centricity & unlock new business opportunities and transform the company into a data&analytics-driven company. We work on consolidating and evolving the current Data products and incorporate innovative Data Science & AI products while transforming the Data & Analytics culture & mindset of the company by driving up the usage of Analytics based products.

Basel, Baselstadt, Ch

Acting as Chief Data & Analytics OfficerLead all the Data & Analytics related teams (Data Strategy, Business Intelligence, CRM and Market Insights) with the objective to support decision making, optimise operations, drive customer centricity & unlock new business opportunities. Consolidate and evolve the current Data products and incorporate innovative Data Science & AI products. Transform the Data & Analytics culture & mindset of the company by driving up the usage of Analytics based products.

Hannover, Lower Saxony, De

Acting as Chief Data & Analytics OfficerWork collaboratively with our excellent team of data-led professionals to design, coordinate and execute the Data Science & Analytics strategy for TUI Musement.Leading all the Data Science & Analytics teams in the organisationLeading the Data and Analytics strategy and roadmap for the organisationInfuse Data Culture in the organisationCommunication of all the benefits of becoming a data-led companyAlignment of all data-led projects / initiatives to drive synergiesLeading a team of 22 members – Designing and building the team from scratch Main responsibilities:- Lead the Data and Analytics Products Strategy for TUI Musement- Lead the Data analytics roadmap (descriptive & predictive) - Lead the Data Science roadmap (prescriptive) - machine learning & forecasting- Data management (data quality, governance, accountability and monitoring)- Central coordination and alignment of all data activities within TUI Musement- TUI DX representative in TUI Group Data Forums - Member of the data-led and digital culture networks at TUI Musement- Drive data culture and innovation culture in the organisation

Hannover, Lower Saxony, De

Responsible for the coordination of all the data initiatives of the organisationMain responsibilities:- Design and development of the Data Strategy for TUI DX- Design of Data analytics initiatives (descriptive, predictive & prescriptive)- Data management (data quality, accountability and monitoring)- Central coordination and alignment of all data activities within TUI DX- TUI DX representative in TUI Group Data Forums- Member of the data-led and digital culture networks at TUI DX

España, Es

Responsible for the company and product strategy as well as strong involvement in product market positioning, business development and innovation tasks at Soffid.Our team is mainly responsible for:- Analysis of the structure of the industry- Market research and product positioning- Best strategies for product differentiation- Best strategies for market share growth- Best strategies for partnership network growth- Involved in product roadmap definition

London, London, Gb

Acting as Chief Data & Analytics OfficerResponsible of the Analytics Department at Limejump LtdLeader of a team of 7 members, team and project managementMember of the Company Board, responsible for company financial results presentationProduct design, implementation, optimisation and development:- Data science, real-time processing, distributed algorithms, IT development- Energy export profiles forecasting (wind, solar, hydro, baseload): machine learning- Demand response, frequency response, distributed generation, power prices analysis, demand profiles identificationSupervision of the technological development of the company. Responsible of aligning IT development with business objectives and drive the change within the organisationSupervision of operationsClient-facing presentationsData analytics, big data, statistics, predictive analytics, financial results prediction and reporting

London, London, Gb

Data analytics (offline and real-time) big data, statistics, data science, predictive analyticsProject managementBusiness analytics, revenue forecast, cashflow analysis, product analysis, data structuring for business decisions, portfolio optimisationDesign of monitoring tools: Monitoring dashboards and automatic alerting system designEnergy export profiles forecasting (wind, solar, hydro, baseload): machine learningCommercial product design, implementation, optimisation and development Distributed algorithms with centralised cloud control

Brooklyn, Ny, Us

Technical lead, project manager, and business development managerExpertise in smart grid operations, data analysis, data science and big data analytics, statistics, predictive analytics, distributed generation, demand response and forecasting, microgrids, energy efficiency, carbon reduction, voltage reduction, renewable sources integration, energy economics, delayed voltage recovery, MV and LV power systems, and thermal rating of HV power cables.Technical lead on smart grid projects for Con Edison Inc. of New York City (Electric utility) Energy efficiency/ smart grid / demand response projects. - MV and LV networks modeling and simulation - Dealt with large data sets (energy usage) for every household in NYC. - Simulated energy usage and smart metering scenarios - Building consumption modelling - Demand management and demand response mechanisms - Energy savings, carbon reduction and economic impact of voltage reduction - Statistically optimal location of microgrids - Statistically optimal location and size of distributed generation - Processed all electric bills for every household in NYC (data mining, statistics, trends) - Energy savings calculation, smart energy usage, and results visualization - Tracked progress, delivered and presented results to the clientTechnology and business development leader in a software project on real time monitoring and prediction of temperature of cables in smart grids - Modeling, system identification, control systems, predictive analytics - Product development, validation, tracked progress, and delivery to the clientBusiness development for cable rating software - Business plan development, strategy - Market assessment, positioning and differentiation, sales and revenue forecasts - Operation plan and technical strategy - Financial plan: cash-flow and growth projectionsLeading a group of 9 engineersParticipated in bidding processesExperience in IEEE and IEC standardsIEEE author and reviewer

Barcelona, Es

Research Engineer within the LISA Pathfinder mission, European Space Agency (ESA).Worked on several topics, most of them focused on the study, design, and implementation of the Diagnostics Subsystem of the satellite. - System Identification, analytics, data science, modelling, and energy efficiency- Experiment design, data analysis, parameter estimation, statistical analysis, machine learning, neural networks, time series analysis, ARMA processes, and predictive analytics - Control systems engineering- Complex systems simulation and electronic design- Project coordination and team managementProject funded by the FP7 programme of the European CommissionParticipated in opportunity discovery, proposal writing and bidding processes for EU projects 9 papers published in scientific journals5 technical notes presented to the European Space Agency (ESA)3 talks given in international scientific conferences

Cambridge, Ma, Us

Member of the SPHERES team at the Space Systems Laboratory, Massachusetts Institute of Technology (MIT).Conducted research on Spiral Coordinated maneuvers for a formation of satellites. Cooperative systems and multi-objective control algorithms were studied and implemented. Also, within formation flight research, we performed studies for optimal reconfiguration maneuvers.These studies were implemented in the SPHERES testbed at MIT and were tested onboard the International Space Station.- Algorithm design, algorithm implementation, hardware testing, and results validation- Client-validated software delivery

Executive Mba, Business Administration And Management, General

Phd, Simulation, Data Science And Controls Engineering

Final Master'S Thesis, Optimal Control And Embedded Systems

Master'S Degree, Aerospace Systems, Control Engineering, Physics, Mathematics, Economics

Master'S Degree, Telecom Engineering, Signal Processing, Computer Science, Electronics, Mathematics, Economics