John R.
About John R.
John R. is a Principal Machine Learning Engineer specializing in recommender systems, currently employed at Rebuy Engine. He has extensive experience in machine learning and analytics, with a strong background in time series forecasting and natural language processing.
Current Role at Rebuy Engine
John R. serves as the Principal Machine Learning Engineer, focusing on recommender systems at Rebuy Engine. He has been in this role since 2023, contributing to the development and optimization of machine learning models that enhance user experience and product recommendations.
Previous Experience in Machine Learning and Analytics
Prior to his current position, John R. held several roles in machine learning and analytics. He worked as a Principal Machine Learning Engineer at The RealReal, specializing in price optimization from 2022 to 2023. His experience also includes a position as a Senior Machine Learning Engineer at Blue Yonder, where he focused on forecasting R&D from 2019 to 2020.
Educational Background
John R. has an extensive educational background, holding a Master's degree in Finance from the SMU Cox School of Business and a Master's degree in Analytics from Texas Christian University. He also earned a Bachelor's degree in Linguistics from Southern Methodist University.
Technical Skills and Certifications
John R. possesses expert-level experience in various technical areas, including Dask, Spark, Python, Kubernetes, Kubeflow, Prefect, statistics, and calculus. He has also earned over 10 certifications across platforms such as AWS, GCP, and IBM Cloud, demonstrating his commitment to continuous learning and professional development.
Leadership and Teaching Experience
John R. has significant leadership experience, having served as a Senior Instructor at BloomTech, the largest data science bootcamp in the US, from 2020 to 2022. In this role, he contributed to the education and training of aspiring data scientists, leveraging his expertise in machine learning engineering.