Patricia Quintanilla Peinado
About Patricia Quintanilla Peinado
Patricia Quintanilla Peinado is a Lead Data Scientist at Daimler AG, where she has worked since 2021 in Comunidad de Madrid, España. She has a background in Mathematics and Big Data, having studied at Universidad Complutense de Madrid and Universidad Carlos III de Madrid.
Work at Daimler
Patricia Quintanilla Peinado has been serving as the Lead Data Scientist at Daimler AG since 2021. In this role, she is responsible for planning data science tasks and building analytics models within an international team. She organizes and leads a cross-functional data science team, ensuring effective collaboration and project execution. Her work involves utilizing various tools such as Azure, Data bricks, Jira, and Confluence to enhance data analytics capabilities.
Previous Experience in Data Science
Prior to her current position, Patricia worked at Daimler AG as a Big Data and Advanced Analytics Consultant from 2019 to 2021. She also gained experience as a Becario at Iberdrola for two months in 2019 and at Bankia for three months in 2017. These roles contributed to her foundational knowledge and skills in data science and analytics.
Education and Expertise
Patricia holds a Grado in Mathematics from Universidad Complutense de Madrid, where she studied from 2014 to 2018. She furthered her education with a Master's degree in Big Data and Analytics from Universidad Carlos III de Madrid, completing her studies from 2018 to 2019. This educational background provides her with a strong foundation in quantitative analysis and data-driven decision-making.
Technical Skills and Tools
In her role as Lead Data Scientist, Patricia utilizes a range of technical tools to perform her duties. Key tools include Azure for cloud computing, Data bricks for data processing, and project management tools such as Jira and Confluence. Her proficiency in these technologies supports her in building effective analytics models and managing data science projects.