MLOps with AWS: Model Deployment

Peter Bruce is the Chief Learning Officer at Elder Research and the Founder of the Institute for Statistics Education at Statistics.com, which specializes in online education in statistics and data analytics. He has co-authored several influential works, including Responsible Data Science (Wiley, 2021), Data Mining for Business Analytics (Wiley, 2006–2021), which has seen 13 editions and is used in over 600 universities worldwide, and Practical Statistics for Data Scientists (O'Reilly, 2nd ed. 2020). Additionally, he authored Introductory Statistics and Analytics: A Resampling Perspective (Wiley, 2015). With a background that includes degrees from Princeton and Harvard, as well as an MBA from the University of Maryland, Peter has leveraged his extensive knowledge to develop a comprehensive curriculum that addresses various aspects of statistics and analytics. His commitment to education is reflected in his role at the Institute, where he oversees course development and faculty recruitment while teaching courses on resampling methods

Dr. John Elder is the Chairman of the Board and Founder of Elder Research, Inc., recognized as one of the most experienced data science consulting teams in the United States. Since founding the company in 1995, he has led efforts to solve complex challenges for both commercial and government clients by extracting actionable insights from diverse data sources. Dr. Elder has co-authored several influential works, including Practical Text Mining and Statistical Analysis for Non-structured Text Data Applications, Handbook of Statistical Analysis and Data Mining Applications, and Ensemble Methods in Data Mining: Improving Accuracy Through Combining Predictions. His contributions to data mining tools and ensemble methods have significantly impacted the field, and he is a sought-after keynote speaker and chair of international conferences. With degrees in Electrical Engineering from Rice University and a PhD in Systems Engineering from the University of Virginia, Dr. Elder combines academic rigor with practical application, enhancing the capabilities of data science across various industries

Dr. Shree Taylor serves as Vice President of Government Analytics & Innovation at Elder Research, where she leverages her background as a computational mathematician to drive impactful solutions across government, private, and non-profit sectors. With over 15 years of experience, she excels at presenting complex technical analyses in a relatable manner for non-technical audiences, ensuring that insights are accessible and actionable for stakeholders. Dr. Taylor is passionate about leadership development, embodying an authentic and empathetic approach that fosters collaboration and helps colleagues achieve their goals.

Bryce Pilcher currently serves as Lead Data Engineer at Elder Research, Inc., where he has progressed through multiple roles since joining the company. After completing both his Bachelor's and Master's degrees in Computer Science from North Carolina State University, he has built an impressive career spanning software engineering and data architecture. His journey at Elder Research began as a Software Engineering Associate in 2013, where he led the development of dynamic visualization tools using JavaScript library D3, before advancing to Software Engineer, Senior Data Engineer, and ultimately to his current leadership position in April 2023. Throughout his career, Pilcher has demonstrated expertise in diverse technologies, including React with Redux, Firebase, AWS infrastructure, and Graph DB systems. His entrepreneurial spirit led him to co-found Jobii, where he served as Founding Partner responsible for Technology and Software Development from 2018 to 2022. His technical prowess extends across network simulation, software reliability, and client tool design, particularly leveraging graphs and Java to create innovative data interaction interfaces. Pilcher's commitment to continuous learning has driven him to expand his expertise into Python web scraping and Scala development for functional and reliable software solutions, making him a valuable leader in Elder Research's software engineering and development team.

Allison Marrs serves as a Software and Data Engineer at Elder Research, where she specializes in developing data and machine learning solutions for government agencies and diverse industry clients. Her expertise centers on building sophisticated data and ML pipelines using Python and AWS Cloud Platform technologies. At Elder Research, she contributes to the company's 25-year legacy of delivering business value through data science and AI solutions