Ryan Edwards

Ryan has a passion for data analytics from his studies, having attained a double degree in Accounting, Finance and Computer Science at the University of Auckland. He moved to Sydney from New Zealand to experience a new country and culture, but most of all, he wanted to apply his degree in a practical environment. Ryan has previously lived in Shanghai and Shenzhen, where he has worked in the high tech industry and received the Prime Minister’s Scholarship for Asia. His hobbies include outdoor rock climbing, running marathons and going on adventures – Ryan has run a marathon on the Great Wall of China.

Reflection Piece

It's been a great 16 weeks. Great has two meanings, of an intensity considerably above average, and of quality considerably above average. This was an intense programme. I won't forget the late Thursday nights rushing to finish a client project, nor the pressure we...

Kickstarter #DashboardWeekDay3

Welcome to my third post of Dashboard Week! In case you’re asking, what is dashboard week? Dashboard week is a week where, during each day, all the data schoolers create a dashboard and post about it! Wednesday's challenge was creating a dashboard using data from...

Pirates and NLP #DashboardWeekDay2

Welcome to my second post of Dashboard Week! In case you’re asking, what is dashboard week? Dashboard week is a week where, during each day, all the data schoolers create a dashboard and post about it! Tuesday's challenge was creating a dashboard using data on piracy...

Spotify API #DashboardWeekDay1

Welcome to my first of five dashboard week blogs! In case you're asking, what is dashboard week? Dashboard week is a week where, during each day, all the data schoolers create a dashboard and post about it! Monday's challenge was creating a dashboard using the Spotify...

Quick Tip: Missing Time Series Data

"Lost time is never found again." – Benjamin Franklin. So said the man on the US $100 bill. Fortunately, a lot has changed since the 18th century, including the ability to find lost time in time series data. In the first of my new quick tip series, we'll look at how...

Finding a Dataset

  Are you trying to find your ideal dataset? Finding a nice dataset is a bit like finding an in vogue restaurant for a date. Here I'll discuss some of the familiar places myself and the other data schoolers use, as well as my thoughts on the newly available...

Feature Engineering – Cyclical Variables

What's the difference between 23 and 1? If we're talking about time, it's 2. A cyclical variable is a fancy name for a feature that repeats cyclically. I'll write a future blog post on the importance of feature engineering, but in short, it aims to improve the...