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About me

Growth

Awarded Research Scholarship to carry out my academic project about AI mobile apps

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Data Analysis

Research

App development

2021 Vacation Research Scholarship

Artificial Intelligence

2022 Vacation Research Scholarship

In cooperation with KE Duong, we, as an ERP consultants, wrote this business case to suggest what kinds of ERP system should be used to Top Gear Bikes (TGB).

System analysis for ERP implementation

This independent research is to identify and discuss the Critical Success Factors (CSF’s) in implementing an ERP system. With the basis of the classic case study about i2 system, Nike’s supply chain debacle and their subsequent victory has provided us with valuable lessons that we can learn. 

Five critical factors for ERP implementation

The purpose of this analysis is to conduct a preliminary analysis on a set of US bankruptcy data in order to better understand and potentially categorise different types of bankruptcy. Before this analysis takes place, a brief data description is provided, followed by some data wrangling and exploration to ﬁrst clean the data, and then visualise some of the patterns and characteristics present in it.

High Dimensional Analysis

Finance

High Dimensional Analysis on US bankruptcy 

Business Process Improvement

Analysis on Gearbest’s Business Process Improvement 

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The motivation of this project was that I was curious why Apple was ranked top for years by Gaertner. And I found out their Supply Chain was highly optimised under the administration of Tim Cook.

Supply Chain

Apple Inc’s Lean Supply Chain

This is an analysis for Apple Lean Supply Chain.

This analysis is to look into aspects of analysing churn data. Customer churn time is the length of time a customer stays with a company before leaving. This is a vital metric in many businesses and there is great interest in estimating it. The churn time changes, so we always want to estimate it with the most recent data available. This is statistically challenging as many (hopefully most) customers will have not churned at the time when the data is collected. This means that customer churn data is highly censored.

Predictive Analytics

Statistics

Survival Analysis on Customer Churn time

Jason Siu - Portfolio