About Jing

Three words about me: open-minded, easy-going, self-motivated

Languages

  • Chinese native
  • English professional proficiency
  • Swedish basic

Programming

  • Python
  • SQL
  • Java
  • C++

Toolbox

Data processing: Bigquery, Jupyter Notebook, Apache Hadoop, Dataprep, Excel

Data visualisation: Data Studio, Tableau, Qlickview, Matplotlib, Altair, plotly

Service: Google Cloud Platform (GCP), Google Analytics Certified, Hotjar, VWO

Libraries: Pandas, pymc3, scipy, scikit-learn, tensor flow, Keras

Education

M.Sc. KTH, Royal Institute of Technology School of Electrical Engineering

Deep Learning Specialisation deeplearning.ai

Machine Learning with TensorFlow on Google Cloud Platform Google Cloud

B.Eng. Southeast University, School of Information Science and Engineering

Machine Learning Specialisation University of Washington

Working Experience

Data Scientist at Epidemic Sound
(2019 – Current)
Working as an embedded product analyst in a Growth team which focuses on increasing organic traffic and optimising online user experience in early stage, responsibilities include reporting, providing insights, designing experiments, analysing AB tests results and contributing data infrastructure.

Conversion Specialist at Conversionista
(2017 – 2018)
Different data science projects:
– Improve online user experience, e.g. Recommendation Engine, Personalisation Content
Automate the marketing process on GCP.
Conversion review for online e-commerce and provide AB testing hypothesis and rule of thumb suggestions
Heuristic tests for online e-commerce with Google Partners

Data Analyst at H&M
(2017 – 2017)
– Seek business insights for different concepts e.g. H&M +, H&M Sports from data perspective
Analysing the trend of fabric composition among popular apparel retailers

Price Analyst at eDreams ODIGEO
(2016 – 2017)
Working as price analyst in the revenue team, the main focus of the job is to optimise the pricing model of online products which can quickly adjust to the variable market with competitive prices and to achieve the optimal balance between revenue and sales through AB testing.

Master Thesis Researcher at Ericsson
(2016 – 2017)
This master thesis project is about applying machine learning algorithms on data from radio access networks to predict the future incoming traffic. The research was focused on feature engineering the patterns of the traffic for the prediction model.