Chan Chun Yuan's
Data Science Portfolio

About me.

Welcome!

Aspiring Data Scientist during my free time, Perspiring Engineer by practice!
I am actively looking for a career in data science. Contact me to see what I can bring to the table!

Methodology.

Particularly, the OSEMN framework is adopted for all of my data science projects.
Why so, you may ask? Well, the OSEMN framework detailed a pragmatic approach for the entirety of a data science project.
Also, at every stage of the workflow, tuning process can be repeated until a satisfactory condition is met.

The OSEMN workflow is an acronym of the following:

• O: Obtain data
• S: Scrub/clean data
• E: Explore/visualizing data to find patterns or trends
• M: Modelling
• N: iNterpret

For further reference, here is a good write up by Dr. Lau on OSEMN framework:

Project.

#1 Telco Churn Analytics

• Business question: How likely is a customer to churn depending on their subscription plan?
• Exploratory data analysis:

John Doe

• Machine learning model: Decision Tree

#2 Sales Forecasting based on Ads Expenditures

• Business question: What is the sales forecast after advertistement expenditures on different platform?
• Exploratory data analysis:

• Machine learning model: Linear Regression

#3 Natural Language Processing (Sentiments Analysis)

• Business question: What is the sales forecast after advertistement expenditures on different platform?
• Exploratory data analysis:

John Doe

• Machine learning model: Natural Learning Toolkit

#4 Human Resource Attrition

• Business question: How likely is a staff leaving the company under different circumstances?
• Exploratory data analysis:

John Doe

• Machine learning model: Logistics Regression

• Dashboard: