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Rubén Majadas Sanz Email & Phone Number

Científico de datos at PRISA
Location: Greater Madrid Metropolitan Area, Spain 1 work role 3 schools
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Current company
PRISA
Role
Científico de datos
Location
Greater Madrid Metropolitan Area, Spain
Company size
575 employees

Who is Rubén Majadas Sanz? Overview

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Quick answer

Rubén Majadas Sanz is listed as Científico de datos at PRISA, a with 575 employees, based in Greater Madrid Metropolitan Area, Spain. AeroLeads shows a matched LinkedIn profile for Rubén Majadas Sanz.

Rubén Majadas Sanz holds Doctor Of Philosophy - Phd, Computer Science And Technology from Universidad Carlos Iii De Madrid.

Company email context

Email format at PRISA

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PRISA

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Profile bio

About Rubén Majadas Sanz

Rubén Majadas Sanz is a Científico de datos at PRISA. They possess expertise in java, python, oracle sql developer, c/c++ stl, web development and 9 more skills. They is proficient in Inglés.

Listed skills include Java, Python, Oracle Sql Developer, C/C++ Stl, and 10 others.

Current workplace

Rubén Majadas Sanz's current company

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PRISA
Prisa
Científico de datos
comunidad de madrid, madrid, spain
Website
prisa.com
Employees
575
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1 role

Rubén Majadas Sanz work experience

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  • Prisa
    Científico De Datos
    Prisa
    Apr 2024 - Present - Madrid, Comunidad De Madrid, España
Team & coworkers

Colleagues at PRISA

Other employees you can reach at prisa.com. View company contacts for 575 employees →

RJ Ricardo Jimenez Ricardo Jimenez Colleague at PrisaBogota, D.C., Capital District, Colombia View → ER Elena Rocha Elena Rocha Colleague at PrisaNicaragua View → LA Laura Abenójar Laura Abenójar Colleague at PrisaMadrid, Community Of Madrid, Spain View → GA Gerardo Andrade Gerardo Andrade Colleague at PrisaTlalpan, Mexico City, Mexico View → PM Patricia Magee Seseña Patricia Magee Seseña Colleague at PrisaGreater Madrid Metropolitan Area, Spain View → PM Polanco Manuel Polanco Manuel Colleague at PrisaLisboa, Lisbon, Portugal View → DM David Municio Curell David Municio Curell Colleague at PrisaBarcelona, Catalonia, Spain View → SP Sonia Privado Del Amo Sonia Privado Del Amo Colleague at PrisaSpain View → JA Jorge Arranz Jorge Arranz Colleague at PrisaGreater Madrid Metropolitan Area, Spain View → RS Rosa Serrano Iglesias Rosa Serrano Iglesias Colleague at PrisaGreater Madrid Metropolitan Area, Spain View →
3 education records

Rubén Majadas Sanz education

Doctor Of Philosophy - Phd, Computer Science And Technology

Universidad Carlos Iii De Madrid

Thesis: ”Adversarial Reinforcement Learning” Advisor: Prof. Fernando Fernández and Prof. Francisco Javier García

Master'S Degree, Computer Science And Technology, 9.3

Universidad Carlos Iii De Madrid

Thesis: ”Solving the VRP using Automated Planning” Advisor: Prof. Daniel Borrajo and Prof. Susana Fernández

FAQ

Frequently asked questions about Rubén Majadas Sanz

Quick answers generated from the profile data available on this page.

What company does Rubén Majadas Sanz work for?

Rubén Majadas Sanz works for PRISA.

What is Rubén Majadas Sanz's role at PRISA?

Rubén Majadas Sanz is listed as Científico de datos at PRISA.

Where is Rubén Majadas Sanz based?

Rubén Majadas Sanz is based in Greater Madrid Metropolitan Area, Spain while working with PRISA.

What companies has Rubén Majadas Sanz worked for?

Rubén Majadas Sanz has worked for Prisa.

Who are Rubén Majadas Sanz's colleagues at PRISA?

Rubén Majadas Sanz's colleagues at PRISA include Ricardo Jimenez, Elena Rocha, Laura Abenójar, Gerardo Andrade, and Patricia Magee Seseña.

How can I contact Rubén Majadas Sanz?

You can use AeroLeads to view verified contact signals for Rubén Majadas Sanz at PRISA, including work email, phone, and LinkedIn data when available.

What schools did Rubén Majadas Sanz attend?

Rubén Majadas Sanz holds Doctor Of Philosophy - Phd, Computer Science And Technology from Universidad Carlos Iii De Madrid.

What skills is Rubén Majadas Sanz known for?

Rubén Majadas Sanz is listed with skills including Java, Python, Oracle Sql Developer, C/C++ Stl, Web Development, Web Design, Machine Learning, and User Experience.

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