Xingzhong Du

Xingzhong Du

Senior Machine Learning Engineer

WooliesX

Biography

Xingzhong Du is a data science practitioner with demonstrated experiences of machine learning modeling and development. I am interested in applying cutting-edge learning models to address real-world business problems.

Interests

  • Recommender Analysis
  • Video Understanding
  • Personalisation
  • Graph Embedding

Education

  • PhD in Computer Science, 2017

    the University of Queensland

  • Master in Computer Science, 2013

    Nanjing University

  • Bachelor in Software Engineering, 2010

    Nanjing University

Skills

R

60%

python

80%

data science

80%

Experience

 
 
 
 
 

Senior Machine Learning Engineer

WooliesX

Sep 2022 – Present Melbourne, Australia
Machine learning related software development
 
 
 
 
 

Data Scientist

Wesfarmers Corporate

Jan 2022 – Sep 2022 Melbourne, Australia
Customer engagement analysis. Federated personalisation applications.
 
 
 
 
 

Data Scientist

Coles Supermarkets

Mar 2019 – Dec 2021 Melbourne, Australia
Design and develop recommender system based on big data as well as other personalised data products. Customer insights and segmentations.
 
 
 
 
 

Tutor

Monash University

Jul 2018 – Feb 2019 Melbourne, Australia
Taught data science related courses.
 
 
 
 
 

Casual Data Scientist

4impact

Apr 2018 – Jun 2018 Brisbane, Australia
Design and develop water temperature prediction tool based on time series.
 
 
 
 
 

Casual Research Assistant

the University of Queensland

Apr 2018 – Jun 2018 Brisbane, Australia
Design and develop clothing recommender system based on graph embedding
 
 
 
 
 

Casual Data Scientist

SAP INC

Feb 2018 – Mar 2018 Brisbane, Australia
Develop customer retention detection tool for sport club loyalty program
 
 
 
 
 

Research Assistant

the University of Queensland

Nov 2017 – Feb 2018 Brisbane, Australia
Design and develop clothing recommender system based on images
 
 
 
 
 

Research Assistant

Oracle Labs Australia

May 2017 – Nov 2017 Brisbane, Australia
Design and develop machine learning tool based on code property graph for bug detection

Publication

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Personalized Video Recommendation Using Rich Contents from Videos

Exploiting Combination Effect for Unsupervised Feature Selection by l20 Norm

Online user representation learning across heterogeneous social networks

A unified framework with a benchmark dataset for surveillance event detection

Buffer overflow detection for C programs is hard to learn

See all publications

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