Marcos Galletero Romero
Senior Data Scientist at BBVA AI Factory- Claim this Profile
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Español Native or bilingual proficiency
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Inglés Full professional proficiency
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Alemán Limited working proficiency
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Bio
Experience
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BBVA AI Factory
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Spain
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Banking
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1 - 100 Employee
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Senior Data Scientist
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Jun 2022 - Present
I am currently part of BBVA's Financial Health team. We help clients improve their finances using transaction data and their customer profile. I am currently part of BBVA's Financial Health team. We help clients improve their finances using transaction data and their customer profile.
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Mr. Houston
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Spain
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IT Services and IT Consulting
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1 - 100 Employee
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Data Scientist & Full Stack Developer
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Sep 2020 - Sep 2022
Due to the needs of the project, in addition to my tasks as a data scientist and backend programmer, I was in charge of the frontend development of the web tool of the project.
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Data Scientist & Backend Programmer
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Mar 2019 - Sep 2020
I was part of a project dedicated to calculate the reputational risk in companies. My role in this project ranged from the definition of NLP and time series mathematical models to the design of Cloud architecture and web services.
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EY
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Entertainment Providers
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1 - 100 Employee
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Junior Data Scientist
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Dec 2018 - Mar 2019
I participated in NLP and RPA projects, alongside other data analysis projects. Working for clients in the telecommunications and retail sector, my most important contributions to the teams I was part of were: > Application of NLP techniques for the automatic categorization of emails sent to Customer Service mails. > Development in Python of SARIMAX model for the study of time series in the context of capacity trends in commercial premises. > Integration of client datasets in PostgreSQL database. As training to note, the following: > Scrum Dynamics > Blue Prism Training for RPA > Leadership development and decision making for better functioning of teamwork. Show less
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IFISC Institute for Cross-Disciplinary Physics and Complex Systems (CSIC-UIB)
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Spain
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Research
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1 - 100 Employee
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Research Associate
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Sep 2017 - Dec 2018
I was part of a research project in Alzheimer's disease focused on applying Machine Learning techniques to the study of Phase Locking Values between different surface parcellations of the brain surface. Among the skills I developed the most: > Exhaustive use of the Scikit Learn, Pandas and Numpy libraries. > Bagging and boosting for training ensemble classifiers. > Development of neural networks in Keras. > Python programming of the Reservoir Computing theoretical model (Memory ELM). > Developed entirely in Linux environment. > Version-controlled work environment. Show less
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Education
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Universidad Nacional de Educación a Distancia - U.N.E.D.
Postgraduate Master's Degree, Data Science and Data Engineering -
Universidad Complutense de Madrid
Bachelor of Science - BS, Physics