David Spindeler

Decision Scientist @ Vinted

About David Spindeler

David Spindeler is a Decision Scientist based in Berlin, Germany, with a strong background in data analytics, dashboarding, and machine learning. He has worked at Vinted since 2022 and previously held positions at HomeToGo, GameDuell GmbH, and Ubiqum Code Academy, while also contributing as a Student Research Assistant at Universität Kassel.

Current Role at Vinted

David Spindeler has been employed as a Decision Scientist at Vinted since 2022. In this role, he applies his expertise in data analytics and machine learning to influence business metrics and drive decision-making processes. His work involves collaborating with cross-functional teams to develop user-centric products, ensuring that solutions are tailored to meet user needs and enhance overall business performance.

Previous Experience at HomeToGo

Before joining Vinted, David worked at HomeToGo as a Product Analyst from 2019 to 2020. During his tenure in Berlin, he focused on analyzing product performance and user engagement to inform strategic decisions. His role involved utilizing data analytics to identify trends and opportunities for improvement within the company's offerings.

Educational Background

David Spindeler holds a Bachelor of Arts in Sociology from Universität Kassel, where he studied from 2005 to 2009. He later pursued a Master of Arts in Sociology at Universität Mannheim, completing his studies from 2009 to 2012. His academic background has provided him with a strong foundation in analytical thinking and research methodologies.

Experience in Data Analytics and Machine Learning

David has developed a diverse skill set in data analytics, dashboarding, and machine learning. He began his career as a Data Analytics & Machine Learning Trainee at Ubiqum Code Academy in 2018. Following this, he held positions as a Product Analyst at GameDuell GmbH from 2020 to 2021, where he further honed his analytical skills and contributed to product development.

Research Assistant Role

During his studies at Universität Kassel, David served as a Student Research Assistant from 2007 to 2009. In this role, he assisted in various research projects, gaining valuable experience in data collection and analysis, which laid the groundwork for his future career in data-driven decision-making.

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