During my career, I have worked in supply chain planning and data science for several well-known companies. I am responsible for analyzing and optimizing supply chain processes, improving supply chain efficiency, reducing costs, and improving on-time delivery through a data-driven approach. I am familiar with using data analytics and predictive modeling techniques to forecast demand, optimize inventory management, and develop optimal logistics and distribution strategies.In projects, I often use programming languages such as Python and R for data cleaning, feature engineering, model development and evaluation. I am proficient in SQL for data extraction and processing, and able to utilize visualization tools such as Tableau to transform complex supply chain data into insightful charts and dashboards.My problem-solving and analytical skills allow me to quickly identify bottlenecks and risks in the supply chain and provide practical solutions. I pay attention to teamwork and am good at communicating with supply chain, logistics and business departments to ensure the smooth progress of the project and achieve the expected goals.As a data scientist, I am always learning and keeping up with the latest developments in supply chain and data science. I keep exploring new technologies and methods to continuously improve my professional ability in supply chain planning.If you need a professional with data science knowledge and practical experience in the field of supply chain planning, I believe I have the ability to adapt to the changing supply chain environment and provide innovative solutions. Look forward to the opportunity to drive positive impact and results for your team.