Get Involved with us!

Meet our collaborators: experts and exceptional individuals. A group of professionals with outstanding experience in their respective fields. They are not only experts committed to excellence, but also passionate and dedicated individuals whose talent and human quality make a difference in every project. It is thanks to them that you are reading this website today.

COMPANIES

INSTITUTIONS

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INDIVIDUALS

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Below, we provide more details on how you can collaborate and the benefits you can gain from being part of our initiative.

Companies

What type of company can collaborate with Datafest?

Any company, whether private or public, can collaborate with us.

What does a company gain by collaborating with Datafest?

(1) Brand image and positioning: The event generates organic marketing, a more authentic and trustworthy form of advertising compared to traditional company-originated ads.

(2) Generation of ideas and solutions: The proposals developed during the competition can become new business lines or assets to tackle the company’s current challenges.

(3)Attraction and selection of talent: In just one weekend, high-level talent is identified and evaluated, optimising time and reducing costs compared to traditional recruitment processes.

(4)Networking opportunity with other collaborators: The collaboration with Datafest allows connecting with other companies, institutions, and sector experts, creating strategic synergies, potential business alliances, and opportunities for collaboration in future innovation and development projects.

What can a company contribute to Datafest?

(1) DATA!!!! The event focuses on the challenge to be solved and represents an excellent opportunity for a company to discover new business lines, find solutions to its problems, and attract talent among the participants. The data will be managed by Datafest Spain to ensure the protection of personal and sensitive information, thus guaranteeing the integrity of the company.

(2) Facilities: A sponsor can collaborate by providing a space for the event, which also represents an excellent opportunity for advertising and showcasing their facilities.

(3) Funding:

Food and drinks: Meals will be provided to participants during the three days of the event, allowing us to focus all attention on the competition.
Merchandising: T-shirts and welcome packs, among others.
Prizes: Various prizes will be awarded to the winners of the different challenge categories.

(4) Others: Software licenses, cloud credits…

Institutions

What type of institution can collaborate with Datafest?

Any institution, foundation, or academic centre, whether private or public.

What does an institution gain by collaborating with Datafest?

(1) Positioning as a leader in innovation: Participating in Datafest strengthens the institution’s image as a leader in technology, data science, and innovation, generating recognition within the sector.

(2) Promotion of academic programmes and projects: The institution can raise visibility for its courses, research, and initiatives, reaching a highly specialised audience that may be potentially interested.

(3) Attraction of talent: Datafest is an ideal space for identifying students and professionals with exceptional skills, facilitating the recruitment of talent for PhD programmes, master’s courses, or research projects.

(4) Networking opportunity with other collaborators: Participation in the event allows connecting with companies, startups, and other stakeholders in the ecosystem, fostering new strategic collaborations.

What can an institution contribute to Datafest?

(1) DATA!!!! The event focuses on solving the challenge, and it represents an excellent opportunity for a company to discover new business lines, find solutions to its problems, and attract talent among the participants. The data will be managed by Datafest Spain to ensure the protection of personal and sensitive information, thus guaranteeing the integrity of the company.

(2) Facilities: A sponsor can collaborate by providing a space for the event, which also represents an excellent opportunity for advertising and showcasing their facilities.

(3) Funding:

Food and drinks: During the three days of the event, meals will be provided to participants, allowing us to focus all attention on the competition.
Merchandise: T-shirts and welcome packs, among others.
Prizes: Various prizes will be awarded to the winners of the different categories of challenges.

(4) Other: Software licenses, cloud credits…

Individuals

What type of person can collaborate with Datafest?

Anyone with significant academic, professional experience, or both, who is eager to participate in a data event.

What does a person gain by collaborating with Datafest?

(1) Personal brand positioning: Participating in Datafest allows one to gain visibility within the data community, standing out as an active professional in the sector.

(2) Networking opportunities: The event brings together experts, companies, and institutions, providing the opportunity to connect with key profiles, create synergies, and open doors to new professional opportunities.

What can a person contribute to Datafest?

(1) Becoming a judge: Experts in data, technology, or innovation can participate as judges, evaluating the solutions presented by the teams and contributing their expertise to select the best projects.

(2) Volunteering: The success of Datafest heavily depends on the people who collaborate in its organisation. Volunteering allows you to experience the event from the inside, meet the participants, and contribute to the smooth running of the competition.

(3) Your time to organise the datathons: Anyone eager to contribute can join the organisation, helping with planning, logistics, communication, or any other key area to make the event a success.

Joaquín Amat

Senior Data Scientist at Veeva Systems

Joaquín holds a degree in Biotechnology and a Master’s in Data Science and Big Data. He is passionate about open-source software and freely accessible educational content. Over the years, he has contributed to the development of the skforecast project and to this very website through free educational materials. His current area of interest is to continue developing and applying his data science skills to solve problems in the pharmaceutical and biomedical industries.

Moises Martin

ArtificiaI Intelligence and Data, PhD - ESADE - UFV

Moisés M. holds a PhD in Computer Science and Technology, specialising in Artificial Intelligence and Machine Learning. With extensive research experience, he has worked on the application of automated planning and machine learning in robotics and video games. He is currently an associate lecturer at Esade and Universidad Francisco de Vitoria, and has also led AI teams at companies such as Paradigma Digital and Capgemini.

Pablo Jordán de la Fuente

Data Quality Specialist - CEPSA

Pablo Jordán de la Fuente is a specialist in Data Governance and Analysis, with experience in implementing data-driven strategies in large organisations. He is currently a CertGED Lecturer at IE Business School and a Data Management Specialist at Cepsa, where he leads data quality initiatives.

Gonzalo de la Torre

Global Director of Data & ML, Ingka Group | IKEA

Gonzalo de la Torre, PhD, is Global Director of Data & Machine Learning at Ingka Group | IKEA. Previously, he was Head of Data & Analytics at IKEA for Business and Senior Manager of Advanced Analytics at CaixaBank. He has also served as a lecturer at ESADE, teaching Business Analytics in MBA and Master’s programmes. He holds a PhD in Quantum Information from Universitat Politècnica de Catalunya.

Eugenia Pérez Pons

Senior Data Analyst - IKEA

Eugenia Pérez Pons is a Global Senior Data Analyst at IKEA Digital Hub, with experience in data science, strategic analysis, and machine learning. She has worked as a lecturer and content creator at UNIR, a researcher at the United Nations Capital Development Fund, and a consultant at the BISITE Research Group. She holds a PhD in Computer Engineering from the University of Salamanca, an MSc in Data Science, and an Executive Master in Digital Business from ESADE.

Javier Escobar Ortiz

Senior Data Scientist - IKEA

Javier Escobar Ortiz is a Senior Data Scientist, specialising in machine learning and forecasting. He currently works at IKEA, leading the development of advanced analytics solutions. He is a co-author of skforecast, an open-source Python library for time series. He has been a lecturer at UNIR and has worked at Cepsa as a Data Scientist.

Pablo Varela

Advisory Director en JAKALA

Pablo is Advisory Director at JAKALA Iberia. He has over 15 years of experience combining product, data, marketing, and IT.

Rubén García Céspedes

GRM Data & Analytics Principal Manager - BBVA

Rubén is a GRM Analyst and Senior Manager at BBVA. He has previously lectured at IEB and ICADE, and is currently a lecturer at the University of Navarra. He holds a PhD in Banking and Finance.

Raquel Bujalance

Head of ALM Models - Santander

Raquel is Head of Asset and Liability Management Modelling at Santander, a lecturer at the Carlos III University of Madrid, and a member of the Data Visualisation Society.

Javier Rodríguez

Senior Data Engineer at IKEA

Senior Data Engineer with over 10 years of experience driving digital and sustainable transformation at IKEA. Specialised in data integration, pipeline development, data architecture, and cloud solutions (GCP). Passionate about innovation, AI, and teamwork to create global impact.