Career Summary

Collecting, cleaning, exploring, analyzing data then send useful information to those who need it to make further decisions.

Name

Yuanfei Wang

Email Address

fred19962019@gmail.com

Contact Number

+61 422 629 766

Work Experience

Industry experience during the last semester in university

Project description – Making a website which aims to help backpackers between 25 and 30 years old from all over the world by providing them detailed information about the job, food and landscapes in Bendigo.

Personal contribution – Help team in data processing related work:

• Collect data about job, attractive landscapes, and comfortable accommodation in Bendigo.

• Processing the data collected in the previous step including unifying the format of data, selected valuable data according to needed attributes, updating the dataset to database and visualization.

• Analyzing the data from visualization part to get further relation between different job requirements and local economic development in Bendigo then reporting the information collected from data to the whole team to gain conclusions and give backpackers more useful suggestions.

Awards – Monash PG Industry Experience Expo Winner

Education Background

2015-2019 : Shandong University of Political Science and Law (English Major)

2020-2022 : Monash University (Data Science)

Main Course :

• Algorithms and programming foundations in Python

• Data processing for big data

• Machine learning

• Statistical data modelling

• Data wrangling

• Applied data analysis

• Data exploration and visualization

Advantage and ability

• Good critical thinking ability.

• Good at communicating within a team.

• Punctual.

• Multilingual ability (English and Chinese).

• Focus on details and accuracy.

• Learn new things and skills quickly.

• Be familiar with Agile software development method

Skills

Software Skills, Technical Skills, Lanauage.etc

• Machine learning

• Python programming

• R programming

• Mathematics (statistics)

• Database management system skills

• Data collection, cleaning, processing, visualization skills