Implementing MLOps on Google Cloud

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.

Janet Dobbins has established herself as a leader in data science education and community development, currently serving as VP of Business Development at Elder Research. After earning her B.A. in English and Economics from the University of Virginia, she began her career at Xerox Corporation as an Account Executive before transitioning to data science education. At Statistics.com's Institute for Statistics Education, she directed community outreach, communication, and marketing initiatives. Her work focuses on developing innovative curriculum with colleges and universities while helping industry teams acquire essential data science and technical skills. As past President and current Board member of Data Community DC, a non-profit organization with over 4,000 members, she has fostered data science education and professional development through various community events including job fairs, conferences, educational workshops, and hackathons. Her leadership has helped shape the data science community in the National Capital Region through high-quality, community-driven initiatives.

Kuber Deokar is the Lead of Data Science at UpThink Experts and serves as a faculty member and Instructional Operations Supervisor at The Institute for Statistics Education at Statistics.com, an Elder Research company. He is responsible for coordinating online courses, ensuring smooth interactions among management teams, course creators, instructors, teaching assistants, and students. Kuber also manages continuous course improvement projects in his role at UpThink Edutech Services. He holds a Master's degree in Statistics from the University of Pune and has earned two PASS certifications in Analytics for Data Science and Programming from Statistics.com. With over 14 years of experience in course design, development, and delivery, he teaches courses on Predictive Analytics and Statistical Modeling, with special interests in Machine Learning, Predictive Analytics, Statistical Modeling, SQL, R, and app development.