Stock Filter System

There are three main parts in the whole project: Stock Raven: To set up the filter strategies, scrap the trading data, and filter out ideal data from TWSE Crack: To break the captcha in TWSE, allowing Stock Raven to obtain the data Last Step: To finalize the data and output as Excel sheets.

Heuristic Algorithm: Supply Chain Analysis

I implemented a heuristic algorithm, first improvement, and pulp optimization to help a local company allocate its potential customers in the United Kingdom while minimizing the total cost. Moreover, I visualize the final routes and allocation with different allocation methods to show the difference

Machine Learning for Precision Marketing

For precision marketing, machine learning is a great tool for the company to identify its potential customers. In this project, five machine learning models were used, and I created a soft-voting model hope to generate a better result. Besides, a cost-benefit analysis is also presented in the report

The rise and fallen of Nintendo: the analysis of Wii and Switch

This is an analysis report of Nintendo in the gaming market. I use crucial business concepts to analyze why Nintendo can succeed by launching the Wii and Switch, but why there is a big failure in other gaming machines. Moreover, some suggestions are given to Nintendo for its future goods.

Business Statistic in R

There are two cases in the project. In the first project, I utilize various statistical packages in R to analyze the restaurant data, checking if there is any restaurant that does not pass the hygiene law in the United Kingdom. The other case is to analyze the sales among different book genres

Tableau: European Sales and Profits Visualization

I use Tableau to do data analysis of a European company. Also, I visualize its data to show what product makes the most profits. What country is more profitable? Also, the regional differences are shown in the dashboard.