Jaume Civit has a diverse work experience in various data-related roles. Jaume currently holds the position of CDO (Chief Data Officer) / Geschäftsführer at Lidl Digital since November 2021, where their role involves creating effective data usage in the digital environment and promoting resource communication and reusability. Prior to this, they served as the Chief Data Officer (CDO) at SCRM - Lidl International Hub starting from August 2018. Jaume'sresponsibilities included leading a team of data engineers, data scientists, and business intelligence developers for data acquisition, storage, governance, and delivery.
Before joining Lidl, Jaume Civit worked as the Head of Analytics at Wallapop from April 2015 to August 2018. Jaume played a vital role in creating and consolidating the data analytics team for the mobile classifieds app. Prior to Wallapop, they served as a Data Scientist at Tuenti from August 2013 to April 2015. Jaume'swork involved designing algorithms for recommendations and supporting data-driven decision-making.
Jaume Civit's earlier experience includes roles at Telefonica I+D (R&D), where they worked from 2005 to 2013. As an R&D Engineer, they designed algorithms for depth estimation and participated in projects funded by the European Commission and the Spanish government. Jaume also held the positions of Module owner and SW architect and Project Technical Leader, leading software solutions and collaborating with international consortia for the development of 3D videoconference systems, resulting in patents and conference papers.
Overall, Jaume Civit has a strong background in data management, analytics, and algorithm design across various industries.
Jaume Civit holds a Bachelor's degree in Telecommunications Engineering from the Universitat Politècnica de Catalunya, which they obtained in 2005. Jaume later pursued a Master of Science in Telecommunications Engineering and Management from the same university, completing it in 2007. Additionally, they have obtained certifications in Algorithms: Design and Analysis, Part 1, Machine Learning, and R Programming from Coursera in 2014 and 2015.
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