The Data Saloon 


Cowboy-era Cocktails, Live Data Wranglin' & More

Join Makeshift for our very first Data Saloon event on 3rd of December!

We’re asking our friends at some of the most interesting high growth startups in London to talk about the role that data analysis has played in helping them go from small to big.

We’re delighted to announce that John Sandall, a data scientist at YPlan and Teo Ruiz, the lead engineer at Lyst will be speaking. More on our speakers below:

John’s perilous journey into the wild west of data science has seen him unearth dark genomic secrets with naught but a massive array of Imperial College computers, saddling up as a quant analyst at Apple, joining the startup rodeo by learning Python & co-founding a startup, and losing sleep to more than a few hackathons along the way. His work at YPlan involves designing personalisation algorithms from vast quantities of behavioural data, concurrently running a ridiculous number of A/B tests, and ending internal disputes (especially those that have evolved into nerf gun wars) with a few well-aimed insights.

Teo Ruiz is an engineer and over the past 12 years he’s been a maintainer for a Debian-based distribution (and an official Debian maintainer), a founding member of the engineering team at FON, he’s managed the web development team at one of the biggest newspapers in Spain, he was CTO at Busuu until recently and now he’s heading the engineering team at Lyst.

Also speaking will be Tal Oron, co-founder of Lost My Name, a print on demand startup experiencing very rapid growth. Nick Marsh, co-founder at Makeshift will be doing some live data wrangling on stage to help Tal and his team understand their data and make better decisions about the next stage of his businesses growth.

We’ll also have creative mixologist Felix Cohen of the Manhattans Project on-site whipping up old western cocktails fit for a cowboy, and you’re darn tootin’ we’ll be lasooing in some other tasty treats as well.

Our team will be doing some live data wranglin’ on stage using our very own data analysis tool, Wrangler, on behalf of smaller companies that are teetering on the edge of their growth phase.

And if you’re not in London, or you can’t make it, don’t worry, we’ll be filming the whole thing.

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