I have worked as a Supply Chain Analyst with a manufacturing company in my undergraduate. The goal is to help the company optimize their back yard for lumber storage. The methodology I found is to assign each kind of lumber a specific location based on its ordering frequency. So the most frequently-picked lumber will put on the closest position to save the picking-up time. However, I found the lumbers’ ordering frequency changed a lot. Some lumbers are popular in summer and seldom ordered in winter and some lumbers have an increasing ordering trend recently. At that time, I realized the importance of Time Series Analysis and started to learn about the Machine learning models. After my research, I realized in recent data world, every industry needs to cooperate with Data Analytics to make quantitative decisions based on data. Thus, I want to apply for DS major to learn to use predictive modellings to help the world make the wise decision based on data.