Intern(Chow Jun Hoe)

 18/9/2025 My main task today is to compile a tool library to systematically document what I've learned during my six-month internship. This library covers common data filtering and cleaning methods in Python, modeling scripts for time series forecasting (such as Holt-Winters, ARIMA/SARIMA, XGBoost, and N-BEATS), and techniques used in feature engineering. I've also organized common Excel functions and formulas into notes for quick reference. This compilation will not only help me solve similar problems more efficiently in the future, but also provide a resource for the team to reference and reuse.

 17/9/2025 Today's main task is to report the previously improved summary to the manager again, and make final revisions and improvements based on the feedback to ensure that the content is complete and the expression is clear so that it can be used as the final version.

 16/9/2025 Public Holiday

15/9/2025  Public Holiday

 12/9/2025 Today's main task is to review the ARIMA and SARIMA scripts I wrote previously, looking for areas for improvement in parameter selection, data preprocessing, and seasonality settings, in order to improve forecast accuracy and stability. However, ARIMA and SARIMA are more suitable for short-term forecasts because, when the forecast timeframe is too long, errors gradually accumulate, resulting in significant deviations in the results.

 11/9/2025 My main task today was to systematically organize and record the Excel and Python functions and methods I'd learned during my internship, so I could quickly review them later. In this process, I not only categorized common functions (such as VLOOKUP, IF, INDEX MATCH, SUMIF, TEXT, etc.) by function, but also wrote down application scenarios and sample code based on previous examples of actual data manipulation.