Scott Poulin

Scott Poulin has diverse work experience in various industries. Scott started their career as a Cashier at Hy Vee in 2010 and later worked as a Sales Manager at EXPRESS from 2011 to 2013. Scott then transitioned to the field of technology, joining the University of Nebraska at Omaha as a Physics Tutor and Student Physics Researcher from 2012 to 2013.

In 2014, Scott joined Union Pacific Railroad as an Associate Project Engineer, where they provided operational support and monitoring of the company's mainframe and distributed environments. Scott also worked as a Rail Yard Automation Software Engineer/Systems Architect, focusing on projects related to process control and yard optimization. Scott remained with Union Pacific Railroad until 2019.

In 2019, Scott joined Improving as a Senior Consultant, where they worked until 2021. During this time, they took on various roles, including Principal Technologist and Director of Machine Learning and Artificial Intelligence. In these positions, they led the company's machine learning and AI practices, designed and built data and ML platforms for a Fortune 5 company, and developed training paths for organizational growth.

Overall, Scott Poulin's work experience showcases their expertise in technology, specifically in the fields of machine learning, AI, software engineering, and process control.

Scott Poulin has a strong educational background in management information systems and physics. Scott earned a Bachelor of Science (B.S.) degree in Physics from the University of Nebraska at Omaha in 2013. Later, they pursued further education at the same institution and completed a Master of Business Administration (M.B.A.) degree and a Master of Science (M.S.) degree in Management Information Systems from 2015 to 2018.

In addition to their formal education, Scott Poulin has obtained various professional certifications. Scott is a Google Cloud Certified Professional Machine Learning Engineer (obtained in March 2021) and a Microsoft Certified: Azure Data Scientist Associate (obtained in June 2021). Scott also holds the AWS Certified Machine Learning - Specialty (obtained in February 2020) and Confluent Certified Developer for Apache Kafka (obtained in May 2020) certifications. Furthermore, they have completed several specialization courses on Coursera, such as Natural Language Processing, TensorFlow: Data and Deployment, Advanced Machine Learning with TensorFlow on Google Cloud Platform, and Data Engineering with Google Cloud. Scott has also completed courses on deeplearning.ai, including TensorFlow in Practice, Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization, and Neural Networks and Deep Learning. Moreover, they have completed the Foundations of Programming: Fundamentals course on Lynda.com.

Scott Poulin's educational background, along with their certifications, showcases their expertise in management information systems, machine learning, data engineering, and programming.