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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: TBC
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.

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…