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Jun Ye

Data Analyst @ Canva

Canva

Welcome to my site!

I grew up in Jingdezhen (景德镇 /ˈdʒɪŋˈdɛdʒɛn/), a small city in southern China. In 2012, I received a postgraduate scholarship and made one of the biggest decisions in my life and came to Australia to start a PhD degree.

In 2016, I completed my PhD from the University of New South Wales. I then worked as a Postdoctoral Research Fellow at the Australian Centre for Ecogenomics. My research is to identify environmentally and biotechnologically important microbial communities using high-throughput DNA sequence data.

In my spare time, I am also a writer in Toward Data Science, where I share good coding and data analysis practices in broad topics.

I love dealing with complex data and it’s my passion to apply data insights to tell stories and solve problems. I am enthusiastic about leveraging methods of modern statistics and data visualisation to extract patterns from intertwined datasets. I also have a strong interest in machine learning.

I am currently living and working in Sydney, Australia.

Interests

  • Data Visualisation
  • Statistics
  • Data Analytics

Education

  • PhD in Microbiology, 2016

    University of New South Wales

  • MSc in Agricultural Science, 2012

    Shanghai Jiao Tong University

  • BSc in Agricultural Science, 2009

    Jilin Agricultural University

Projects

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Coronavirus (COVID-19) cases dashboard

A dashboard built to track the spread of recent outbreak coronavirus (COVID-19).

Temperature patterns infographic

I designed this infographic to show the temerature patterns across eight Australian capital cities.

Recent Posts

Pattern Classification For COVID-19 Growth Data

On 2nd Feb, I launched a web dashboard for tracking the spread of recent coronavirus (COVID-19) outbreak, which provides a real-time …

Everything You Need To Know About Correlation

Correlation is one of the most fundamental statistical concepts used in almost any sectors. For example, as in portfolio management, …

Ten Tricks To Speed Up Your Python Codes

Python is slow. I bet you might encounter this counterargument many times about using Python, especially from people who come from C or …

An Overview Of Importing Data In Python

The prerequisite for doing any data-related operations in Python, such as data cleansing, data aggregation, data transformation, and …

Elevate Your Dashboard Interactivity In Dash

Last week, I shared with you how to make a dashboard to track the spread of coronavirus using Dash in python, from which you can have a …

Accomplishments

IBM Data Science Professional Certificate

This program consists of 9 courses providing the latest job-ready skills and techniques covering a wide array of data science topics including: open source tools and libraries, methodologies, Python, databases, SQL, data visualization, data analysis, and machine learning. All hands-on are practiced in the IBM Cloud using real data science tools and real-world data sets.
See certificate

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