28/8/2025

 28/8/2025

Today, I focused on summarizing the XGBoost model, including feature selection, parameter adjustment, and performance analysis for holiday sales forecasting. I also organized some Python data filtering techniques I learned during my internship, such as conditional filtering, multi-condition combination filtering, and data cleaning methods, to facilitate rapid application in various data processing scenarios.

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10/6/2025

 10/6/2025 Today, i successfully completed the construction of the SARIMA model and began to apply it to the prediction of actual sales data. After model training, i generated sales forecasts for the next few days and compared them with the actual data to evaluate the accuracy of the model.
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22/5/2025

 22/5/2025 Continue to modify the analysis content based on the feedback from Supply Chain Executive, including optimizing the data display format, supplementing missing data fields, and reorganizing the analysis logic. While completing the modifications, also start preparing for the report to be given tomorrow and organize the required forecast model results.
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