Gabriela Plantie
About Gabriela Plantie
Gabriela Plantie is a Data Scientist specializing in logistics at Delivery Hero in Alemania, with a diverse background in finance, logistics, and technology.
Current Role at Delivery Hero
Gabriela Plantie currently serves as a Data Scientist specializing in logistics at Delivery Hero in Alemania. She began her tenure in this role in June 2021, focusing on applying data science principles to optimize logistics operations. This position allows her to leverage her extensive background in data analysis and business intelligence, contributing to the efficient delivery processes of the company.
Previous Role at Prosegur Activa
Before joining Delivery Hero, Gabriela Plantie worked as a Data Scientist Leader at Prosegur Activa for three years, from 2018 to 2021. In this leadership role, she guided data science teams and managed complex projects, enhancing her expertise in data-driven decision-making processes within the security and logistics sectors.
Educational Background
Gabriela Plantie has a robust educational background with advanced studies in economics and data science. She completed a Quant program at Universidad del CEMA in 2017 and earned a Master's Degree in Data Mining from Universidad Austral, Buenos Aires, in 2014. Additionally, she holds a Licenciatura en Economía from the University of Buenos Aires, which she attained after six years of study from 2003 to 2009.
Experience in Data Mining and Analytics
Gabriela has a comprehensive background in data mining and analytics, having held multiple roles across various industries. She worked as a Datamining Analyst at Banco Galicia from 2016 to 2018, and briefly at Procesadora Regional from 2015 to 2016. Earlier, she held positions as a BI Lead at RECSA Argentina and as a BI & Strategy Analyst at OLX in 2014. Her career began with roles in analytics and concessions at Wunderman and CNRT, respectively.
Expertise and Interests
Gabriela Plantie possesses expertise in text mining, a method used to extract high-quality information from text data. She also shows a strong interest in experimental economics, which integrates economic theories with experimental methods to understand human behavior. Her diverse career in various sectors such as finance, technology, and logistics enriches her skill set in data science, enabling her to approach problems with a well-rounded perspective.