Kent Zhang is a seasoned Business Intelligence Engineer II at Amazon, bringing over five years of robust experience in analytics, data science, and engineering. His current focus is on enhancing forecasting capabilities for the Global Logistics organization, where he leverages his expertise in machine learning...
Kent Zhang is a seasoned Business Intelligence Engineer II at Amazon, bringing over five years of robust experience in analytics, data science, and engineering. His current focus is on enhancing forecasting capabilities for the Global Logistics organization, where he leverages his expertise in machine learning and data automation to drive impactful business decisions. Kent’s role is pivotal, particularly as he transitions to owning the Fulfillment by Amazon (FBA) long-range forecast within the Forecasting team.
In his position, Kent has successfully implemented an innovative ensemble forecasting process that integrates machine learning models with critical business assumptions. This approach not only enhances accuracy but also provides a comprehensive view of potential outcomes. He developed a bridging script that meticulously tracks the impact of each input variable, ensuring that stakeholders can understand the nuances of the forecast. His work culminated in the delivery of a sophisticated 48-month horizon forecasting model, which is instrumental for strategic planning and resource allocation within the organization.
Kent’s technical prowess is complemented by his proficiency in tools such as Looker and Snowflake, alongside a strong command of SQL and AWS technologies. His ability to visualize data and communicate complex insights effectively makes him a valuable asset to his team. As he continues to drive data-driven solutions, Kent remains committed to fostering a culture of analytical excellence and innovation within Amazon’s logistics framework, positioning the organization for sustained growth and efficiency in a competitive landscape.
