- Purchasing: Monitor purchase and sales orders through Enterprise Resource Planning (ERP) software, ensuring steady inbound to outbound flows.- Inventory Management: Monitor stock levels on a daily basis. Build reports and generate insights using data visualization tools like PowerBI; Determine (Q, R) policy for vital raw material replenishment. Decrease inventory level by 40% while maintaining 95% performance level.- Supplier Management: Collaborate with local and global vendors to ensure timely deliveries, operating against long lead time of oversea transportation; Developed new local vendor, saved 20% on the material cost.- Continuous Improvement: Establish and monitor key performance indicators (KPIs) to track performance of the supply chain, identify areas for improvement, and drive operational excellence.

- Inventory Management: Calculated Minimum Purchase Quantities (MOQ) for five major vendors, resulting in a 10% reduction in purchasing costs for the first half of 2023 by implementing bulk purchase strategies and reducing warehouse inventory costs.- Forecast Analysis: Assessed customer forecast performance, evaluating weekly stability and 3-5 months’ accuracy. Achieved a 70% accuracy rate in foreseeing understock situations in July.- Power Query: Developed Power Query reports for reprocessing and inner packaging orders, replacing manual logs with auto-refreshable SQL-based queries, enhancing efficiency.- Data Visualization: Created visual dashboards for historical container prices and shipping costs per item, facilitating informed purchasing decisions and order status maintenance within the system.

- Machine learning & Forecasting: Implemented high-frequency trading price prediction models using Random Forest and LightGBM, predicting price trends. Achieved 78.16% prediction accuracy in back-testing.- Big Data & Model Enhancement: Conducted hyperparameter optimization for models, processing over 130,000 records. Employed genetic algorithms to discover additional alphas, resulting in a 1% increase in model accuracy.- Stock Selection Strategy & Analysis: Developed and executed stock selection strategies, conducting predictions, backtests, and analysis using Qlib.