In this presentation, Milos Grubjesic, a Machine Learning Engineer at PepsiCo, delves into the transformative journey of integrating Kubeflow into PepsiCo’s data science operations. The initiative addressed key challenges, particularly the issue of non-reproducible models, which hindered the consistency and efficiency of data science projects. By developing a comprehensive machine learning platform centered around Kubeflow, PepsiCo significantly enhanced efficiency, collaboration, and scalability in its data science endeavors. This strategic integration streamlined machine learning workflows, ensuring consistent and reproducible results across various projects. The project not only marks a milestone in PepsiCo's technological advancement with the integration of Kubeflow but also serves as an inspirational model for organizations looking to leverage advanced machine learning tools like Kubeflow in data science.