Steven Brandt
About Steven Brandt
Current Role at Stride
Steven Brandt serves as the Manager of Data Science and Engineering at Stride since 2021. In this role, he oversees data science initiatives and engineering projects, focusing on developing and implementing data-driven solutions. His responsibilities include managing teams, ensuring project alignment with business objectives, and leveraging data analytics to support decision-making processes.
Previous Experience at Raized.ai
Prior to his current position, Steven worked at Raized.ai as a Full-Stack Data Scientist and Engineer from 2020 to 2021. His role involved developing and deploying full analysis pipelines for machine learning and data mining projects. This experience contributed to his expertise in handling large datasets and translating complex data into actionable insights.
Educational Background
Steven Brandt holds a Master of Science (M.Sc.) in Data and Knowledge Engineering from Otto-von-Guericke University Magdeburg, where he studied from 2014 to 2016. He also earned a Bachelor of Science (B.Sc.) in Computer Science from the University of Applied Sciences Schmalkalden, completing his studies from 2011 to 2014. His educational background provides a strong foundation in data science and engineering principles.
Experience in Data Science and Engineering
Steven has extensive experience in data science and engineering, having worked in various roles across multiple organizations. He was a Data Scientist at AUDI AG for six months in 2016 and contributed to the Intelligent Autonomous UAV Project at Auckland University of Technology in 2017. Additionally, he worked at Fraunhofer-Institut für Integrierte Schaltungen IIS as a Data Scientist from 2017 to 2018, further enhancing his skills in data analysis and machine learning.
Skills and Expertise
Steven Brandt is skilled in developing and deploying full analysis pipelines for machine learning and data mining projects. He excels at translating stakeholders' needs into software solutions, ensuring that both technical and non-technical audiences can understand and utilize data effectively. His experience in Scrum teams and independent work showcases his adaptability and collaborative skills in various project environments.