From ETL pipelines and SQL models to the executive dashboards teams actually make decisions from. Sales and operational data, cleaned up and made useful.
Each of these shipped and stayed in use. The numbers are real and verifiable, not projections.
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Built a live Power BI sales dashboard for the Anker distributor business, tracking daily and month-to-date sales, channel mix, and the top brands and items, so commercial teams could read performance at a glance instead of pulling it by hand.
Replaced an ad hoc, spreadsheet-driven process for new products with a repeatable, data-driven workflow, cutting the turnaround from raw numbers to a usable output by 80%.
Grouped by what they actually do in a workflow, from raw data to the decision on screen.
Owned high-value categories including eufy and Nebula. Built a Python ETL pipeline on Databricks that consolidated multi-market channel and retail sales data into a unified daily reporting layer, cutting manual effort by 50% and lifting forecast accuracy from around 40% to over 60%, in line with Anker's global target.
Built dynamic dashboards for sales-performance tracking that supported strategic decisions across commercial teams, and set up a database linking channel and retail systems to improve data accuracy and keep cross-market reporting consistent. Automated daily, weekly, and monthly sales reporting, cutting manual reporting effort by 30%.
Major in Measurement and Control Technology and Instrumentation, School of Mechanical, Electronic and Control Engineering. A quantitative, systems-heavy foundation, plus conversational Mandarin from years studying in China.
Available for data analyst roles in the UAE and Europe. The quickest way to reach me is email.