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When

12:00 AM - 12:00 AM



DSF Meetup with Auto Trader

12:00 am-
12:00 am
October 2nd , 2018, Tuesday
Location:

Join Data Science Festival – Manchester in partnership with Auto Trader in October for great talks.

This Meetup will give you an insight on how Auto Trader get the most out of their data. You will learn more about how they approach AB testing to deliver the best product, how their Data teams are structured how how they use R (with examples). Hope to see you there!

SCHEDULE

6:00pm Guests arrive
6:30pm – Victoria Arbidans
7:00pm – Lauren Rodgers
7:30pm – Break for refreshments
8:00pm – Paul Owens
8:30pm – Networking
9:00pm – Close

Victoria Arbidans – Senior Data Analyst at Auto Trader

Summary: As a company, Auto Trader are not afraid of change. We are constantly testing and iterating on our advert details page to give our customers the best products and features to help sell their cars quickly, whilst creating a better online experience for our consumers. This talk will give you an idea of how Auto Trader do AB testing, the journey of where we’ve come from and where we would like to end up. You’ll see some recent examples of where R has been used to improve this method.

Bio: Victoria is a senior data analyst at Auto Trader, currently using R to analyse the online buying experience. This ranges from consumer behaviour and searching patterns, to car advert performance and how it varies dependent on product and retailer type.

Lauren Rodgers – Data Scientist – User Generated Content & R: tripadvisoR

Summary: An insight into my Masters project which highlighted the benefits of user generated content and natural language processing for making informed business decisions.

Bio: Lauren studied my undergraduate in BSc Mathematics at UCLan, followed by my MSc in Data Science at the University of Sheffield. Lauren was then employed by Ladbible Group as a junior progressing to Data Scientist for 2 years, and now she works at Peak as a Data Scientist (~9 months).

Paul Owens – Senior Data Analyst at Auto Trader

Summary: As a company, Auto Trader are not afraid of change. If we see an opportunity to work better and faster, then that is exactly what we will do. In the last few years, R is something that has helped us do this with more than ever before. This talk will show you the journey of where Auto Trader has come from to how we get the most out of data today. You’ll see how our data teams are structured, and some specific examples of where R has been used, like AB testing.

Bio: Paul is a senior data analyst at Auto Trader, currently using R to analyse how advertising packages perform for different types of car retailers. This can range from quick and agile analysis to bigger, data science-led projects, with plenty of Shiny and Markdown thrown into the mix.

Lauren Rodgers
Peak
VIEW BIO
Lauren studied my undergraduate in BSc Mathematics at UCLan, followed by my MSc in Data Science at the University of Sheffield. Lauren was then employed by Ladbible Group as a junior progressing to Data Scientist for 2 years, and now she works at Peak as a Data Scientist (~9 months).
Paul Owens
Auto Trader
VIEW BIO
Paul is a senior data analyst at Auto Trader, currently using R to analyse how advertising packages perform for different types of car retailers. This can range from quick and agile analysis to bigger, data science-led projects, with plenty of Shiny and Markdown thrown into the mix.
Victoria Arbidans
Auto Trader
VIEW BIO
Victoria is a senior data analyst at Auto Trader, currently using R to analyse the online buying experience. This ranges from consumer behaviour and searching patterns, to car advert performance and how it varies dependent on product and retailer type.