About me
Hi!! Welcome to my profile. I'm Lee Cai Xuan. Currently, I'm studying in data engineering (first year). I hope that I can learn more new things from all my friends and lecturers. So that, I can graduate from UTM successfully and get the best job.
GOOD LUCK ALL OF YOU!!!
- Faculty: engineering
- Student ID: A20EC0062
- Display name: LEE CAI XUAN
- Email address: leexuan@graduate.utm.my
- Town: Ringlet
- City/region: Cameron Highlands
- Country: Malaysia
- Mobile phone: 0175893741
Social media accounts
- Instagram: lcx_lucy
My entire résumé
Personal information
| Date of birth | 3 May 2001 |
|---|---|
| Place of birth | Ipoh, Perak |
| Citizenship | Malaysian |
| Gender identity | Woman |
| Marital status | Single |
Goals
Personal goals
- Read more books
- Learn how to write a good song
- Sleep well every day
Academic goals
- Develop programming skills
- Improve writing and research skills
- Score well in every exams
Career goals
- Do more research about the requirements of a good career
- Develop soft skills
- Get internship in the future time
Skills
Personal skills
- Resourceful
- Initiative
- Creative
Academic skills
- Tolerance of failure
- Good time management
- Critical thinking skill
Work skills
- Leadership
- Communication skills
- Teamwork
History
Employment history
Mini market worker at Pasar Mini Sin Ming
year 2019
Teacher at SJK(C)Cameron
year 2020
Education history
SJK(C)Cameron
year 2008
SMK Ringlet
year 2014
Perlis Matriculation College
year 2019/2020
LEE CAI XUAN's wall
SECI Probability & Statistic Data Analysis Project 2 Reflection
RSS
In the project 2, I learnt how to carry out analysis such as regression analysis based on the 2019 World Happiness Report. Throughout the process of analysis, I learnt how to define all the variables and make a clear conclusion to explain the findings from the analysis. Besides, I learnt how to write R script on Rstudio to do calculations and plot scatter plot graph. I also realise that the skill of using Rstudio is very important because the dataset is too large and we can use Rstudio to calculate all the results in a faster way. In a large dataset, there are so many variables that need to be considered, so we must focus on tiny details and repeat all the calculations again to avoid any mistakes.