Hi folks!
I’m Pelayo Arbués, currently based in Gijón and Madrid, Spain, and I’m the Head of Data Science at idealista, the leading real estate online marketplace in Southern Europe. With 8 years of experience in the industry, I am known for being able to effectively incorporate advanced analytics in products and for increasing awareness of the practical application of data science.
My academic background is in economics, with a Ph.D. in Transport Economics and regional science. I’ve worked as a researcher in academia and held past positions as a Senior Data Scientist at BBVA Next and Lead Data Scientist at Weplan.
I’m passionate about problem-solving and love being a manager because it allows me to tackle various challenges related to strategy, processes, and people. My proudest achievements include developing a recommender system with a small team at a large retail company and raising a high-performance team at idealista.
My biggest dream is to apply my skills and experience to help address human challenges, and I aspire to be known for leading a team that works with high ethics and can deliver outstanding solutions.
Outside of work, my hobbies include taking analog street photographs, reading, and spending quality time with my family. I love learning about creative processes, management, and philosophy.
Want help with something? You can find me on all social media channels @pelayoarbues
PhD in Economics, 2013
University of Oviedo
MSc in Economics - Game Theory Specialization, 2008
University of Oviedo
Responsabilities include:
- Manage people
- Team growth
- Data Analysis Evangelism
- Shape good data analisys practices
- Machine Learning consulting
Responsabilities include:
- Team management
- Data Analysis
- Machine Learning Modelling
- MLOps
Data Science Consultant. Main Projects:
- Cluster Analysis of retail company customers
- Recommender System based on Collaborative Filtering using Pytorch on GPUs
Responsabilities:
- Mobile usage metrics building
- Reporting
- Customer Churn Analysis
Projects:
- Ph.D. thesis (2010-2013)
- eKnow IT
- Globalog