Risk Alive Analytics®
John Zhang is currently employed at Risk Alive Analytics® as an Automation and Machine Learning Engineer, where John develops Python pipelines and API endpoints for machine learning model development and deployment. Prior to this role, John worked as a Process Safety Analytics EIT, conducting risk calculations and communicating risk reduction strategies to clients. John also has experience as a Process Engineering Summer Student at CNOOC International and as a Procurement and Engineering Intern at Isowater Corporation. John holds a Master of Engineering in Electrical and Computers Engineering and a Bachelor of Applied Science in Chemical Engineering from the University of Toronto.
Risk Alive Analytics®
At Risk Alive®, our vision extends beyond individual organizations and industries. We aim to transform the Process Safety world by harnessing the power of global industry data and creating innovative tools and solutions for our customers. Through the aggregation and utilization of industry data, we provide comprehensive insights into your PHA data and processes, overcoming the limitations of isolated information and infrequent assessments. We understand that risk is an ever-evolving force, demanding adaptable approaches to risk assessment. Transforming safety practices isn't disruptive; it's transformational and Risk Alive® leads the way by advocating data-driven approaches that revolutionize how organizations perceive and manage risk. Our unwavering dedication to embracing data insights keeps us on the cutting edge of Process Safety Management (PSM), offering forward-thinking and effective solutions to our customers. Join us on this transformative journey as we unlock the full potential of data and reshape the future of process safety!