Qiming is a data scientist specialising in data processing, analysis, and visualisation, helping transform complex datasets into clear, actionable insights. He works extensively with SQL, AWS, Python, and Tableau to analyse production, pricing, and cost trends for CM analysis. Qiming also develops analytical dashboards and automated reporting tools that support both day-to-day operations and long-term strategic planning.
With a strong foundation in ETL processes, data warehousing, and data governance, Qiming has deep expertise in handling large datasets and collaborating across teams to ensure data accuracy and accessibility. His combined knowledge of mining, processing, and data science enables him to bridge technical analysis with real-world business needs, empowering stakeholders to make informed, data-driven decisions.
