Hansen Guo is a Systems Engineering graduate student at Johns Hopkins University, a Data Engineer and Risk Consultant at The World Bank, and a teaching assistant at JHU School of Advanced International Studies. He is also a full-stack developer with a strong passion for data-driven applications. He has demonstrated excellent skills in data analysis and has hands-on experience in building machine-learning models for years with great domain expertise in sustainable development and energy systems. His unparalleled expertise in modeling and analysis, proficiency with various quantitative research tools, and skills in multi-language software development, together with rich experience in communication and collaboration, make him an outstanding candidate for the role of data scientist.
Hansen is engrossed in observing how to make the world around him simpler and more productive. Data science has given him a key to turning this interest into a career, which is incredible and rewarding. He has been seeking a great platform to leverage his talents and skills to contribute on a global scale. He looks forward to discussing how he could help to solve any challenges you may have and build positive decisions by using predictive models, experimental design methods, and optimization techniques.