• Analyze the main selling product changes after the Premium cliff on early July
• Establish a machine learning model by python and obtain the analytical base table by SAS, SQL from daily report forms to predict high potential existing customers for cooperated agents. Increase the cooperated agents' sales turnover rate by a factor of three
• Created 1700 interaction points by activities of six sigma tools (DMAIC, 5S, etc.)
• Improve employee efficiency by established database for Import Customs Charge Dep.
• Formulate and visualize a marketing strategy by utilize EDA, K-Means and Hierarchical Clustering on customers' information to target market advertisement.
• Forecast stock price with 1.3% RMSE by using Auto Encoder technique and MLP predictor. Seek out the importance between each input and improve the algorithm.