21/7/2025

 21/7/2025

Today's work mainly focuses on continuing to optimize the XGBoost model, especially making more in-depth adjustments and learning on the handling of holiday factors. In the morning, I reviewed and re-studied the impact of holiday factors on time series forecasting, especially how to transform holiday information into features that can be interpreted by the model in a structured way.


In the afternoon, I attended an internal lecture held by the company. The lecture focused on the application trends of artificial intelligence in today's business environment. It also emphasized the attitude changes that employees need to have in the context of rapid technological development, such as continuous learning, cross-departmental collaboration and proactive innovation.

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21/3/2025

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19/3/2025

19/3/2025 Data related to Soh (Stock on hand), Sales (Sales data) and Warehouse Stock (Warehouse Stock) from January 2, 2025 to March 19, 2025 are extracted from Qlik Sense, and the data integrity is checked and initially cleaned. Subsequently, the stock level and warehouse stock allocation are analyzed by building visualization charts such as line charts and bar charts. Finally, the analysis results are discussed and corrected with the Supply Chain Forecast and Promotion Executive.
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