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Location

5 Adair Street M1 2NQ

When

6:00 PM - 9:00 PM



DSF Meetup with On the Beach

@
6:00 pm-
9:00 pm
October 29th , 2019, Tuesday
Location:
Type:

Join the Data Science Festival Manchester in partnership with On the Beach for 2 super interesting talks this October.

Due to the popularity of Data Science Festival events, we are now allocating event tickets via a random ballot. Registering here enters you into the ticket ballot for the Data Science Festival Event on October 29th 2019, the ballot will be drawn on the 25th October 2019. Those randomly selected will then be e-mailed a Universe ticket for the event.

If you get an allocated Universe ticket, please bring a copy of your paper ticket or your ticket on your phone to the event to check in with your QR code. Tickets are non-transferable.

PLEASE NOTE REGISTERING ON MEETUP DOES NOT GUARANTEE YOU ENTRY TO THIS EVENT.

Please click here to apply for a ticket: GET TICKETS

SCHEDULE:

6:00: Doors open
6:30: Phil Nash
7:15: Break
7:45: George Hall
8:30: Networking
8:50: Leave building

Phil Nash – Is this normal? Automatic monitoring of KPIs using GCP

Summary: In the past we have spent a lot of time trying to figure out if a sudden drop in sales or sessions was something to worry about. In most cases, it would turn out to be nothing more than natural fluctuation. We created a system to monitor KPIs in real time, and send an alert anytime that they moved significantly enough to warrant concern.

Bio: I have been a data scientist for about 8 years now, working across industries such as food delivery, finance and travel. The majority of my work revolves around marketing, namely building models to correctly attribute media effectiveness, predicting a customer’s likeliness of purchase, and working out which customers to target. I’m new to Manchester, having moved from Berlin. I love the outdoors, and in my spare time I enjoy picking wild mushrooms and longboarding down mountains.

George Hall – Making Sense of Messages

Summary – As part of the customer experience team at Virgin Media we provide every customer with the best possible service. As part of the insight team we have built an event log where we track all of our customers effort, that may be a call to say their service is down or a message to one of our agents asking if they can upgrade their service, we build insight off these events to help lower the effort made by our customers. To help enrich our event log I have topic modelled our messenger transcripts to identify what the customer was talking about (a ‘topic’). This topic will then be used in future analysis to augment our understanding of the customer.

Bio: I have been a data scientist for two years working in insurance and most recently customer experience. I come from a statistical background so am particularly interested in all things modelling whether that is a simple decision tree to transfer learning off InceptionV3 to build an AI algorithm to predict avalanches. Day to Day at Virgin Media I work as part of one of our journey squads providing insight and analysis on customers in their journey. I am an avid skier and spent December – April living in van in the Alps following the snow all winter.

Phil Nash
On the Beach
VIEW BIO
Bio: I have been a data scientist for about 8 years now, working across industries such as food delivery, finance and travel. The majority of my work revolves around marketing, namely building models to correctly attribute media effectiveness, predicting a customer’s likeliness of purchase,  and working out which customers to…