DSF Meetup with Auto Trader
1 Tony Wilson Place, Manchester M15 4FN, UK
53.4727667
-2.246494900000016
Join Data Science Festival - Manchester in partnership with Auto Trader in February for great talks.
Those randomly selected and approved will then be e-mailed tickets for the event. If you do not receive an approval e-mail from us by the 4th of February 2019 you have been unsuccessful in getting a ticket for this event.
SCHEDULE
6:00pm Guests arrive6:30pm - Dr Jane Jin7:00pm - Rob England7:30pm - Break for refreshments8:00pm - Dr Andrew Crosby8:45pm - Networking9:00pm - Close
Dr Jane Jin - Data Scientist at Auto Trader
Summary: Customers always have choices of how to advertise their cars at our website. Now with the help of data, we learn if our services are priced fairly so we bring them better value for every pound spent.
Rob England - Data Scientist at N Brown Group
Summary: Storytelling with R : the plot thickens. We have the tools to build a wide variety of charts and graphs from our data, and with a few tweaks we can use them to tell more of the story more clearly. This talk finds inspiration from some heroes of data vis, and uses it to design some non-standard charts, in R, that bring out insights from real business data.
Bio: Rob is part of the N.Brown Data Science team. N.Brown is an online fashion retailer trading through brands including JD Williams and Simply Be. Rob’s main focus at work is developing the in-house econometric models which try to work out the long-term payback from marketing investment in TV, Press and digital advertising. He also has an interest in data vis. and has been combining this with his attempts to learn R.
DrAndrew Crosby - Data Scientist at Auto Trader
Summary: Auto Trader is in the privileged position of having access to an unrivalled range of data relating to the UK's automotive market, one of which is our set of vehicle images. In this talk I’ll discuss some work that we did as part of a company hack to explore how we can use image recognition models trained on this data to tackle a range of interesting problems.