
• Collaborated with instructors to prepare three classes of 60+ students for their GCSE and A-Level math exams;
• Volunteered twice per week to assist classroom teaching, grade coursework, help students work through homework and tests.

Chesterton Community College

Teaching Assistant

Collaboration

Leadership

Guidance

Creativity

Engagement

Casual Work - Teaching Assistant

 Sidney Sussex 

Honors Bachelor of Arts in Mathematical Tripos

University of Cambridge

I am a math graduate from University of Cambridge and am currently pursuing a Master degree in Data Science at University of Sydney. I worked in ByteDance as a data analyst for a year. I am open to opportunities related to data science in all industries, with particular interests in tech and finance based on my previous experience.


• Provide 1-to-1 Python and Scratch tutoring to 5 students aged 6-18, and help them pass the Programming Level Tests;
• Tailor contents and approaches based on each individual’s interests and goals, deliver regular feedback for parents and students.

Dream Codes True Limited

Coding Tutor

Univerisity of Sydney

Graduate certificate in data science

Project A: Human Labour Censorship Efficiency and Quality Control in Douyin(Chinese TikTok)
– Utilised Python to implement unsupervised machine learning techniques for setting sensible workplace productivity goals,
and boosting workplace effectiveness, which improved censors’ accuracy from 93 percent to 98 percent in 3 months.
– Collected and wrangled 1GB of censors’ actions data stored in Hive tables to set a standard for employees’ productivity by
K-means clustering, and analysed its rationality by visualisation.
– Monitored censors’ quality data based on different business metrics by creating and maintaining dashboards, and produced
daily and weekly quality reports to identify the latest problems.

Project B: Workforce Scheduling Analysis and Automation
– Allocated censors into 19 different daily work schedules to best fit the number of hourly incoming cases for review, which
minimised labour cost by 8 percent under the 15-min time lag constraint.
– Constructed a linear programming model that predicts daily time lags on labour distributions under various business needs
using Python, which allowed evaluation of the current scheduling.
– Achieved automated monthly scheduling using linear programming by arranging censors and dates in a table with business
requirements embedded into rows and columns constraints.
– Presented results to management team and wrote reports detailing algorithm and implementation to present to 4 other bases

ByteDance

Data Analyst

Katherine Mu / Casual Work - Teaching Assistant

Teaching Assistant

Chesterton Community College

Progress

Skills