FOLLOW

FOLLOW

SHARE

Interview With Eleftherios Diakomichalis, Head of Data (Science & Engineering) at SoundCloud

'Most of my challenges today are organizational challenges'

28Sep

Eleftherios Diakomichalis currently leads the Data Science and Engineering teams at music streaming service Soundcloud. He joined the company in 2011 as a data analyst, helping the company grow from 30 employees and 2 million users to more than 300 employees and a reach of 175 million people every month.

We sat down with him ahead of his presentation at the Big Data & Analytics Innovation Summit, taking place in London this November 16-17.

How did you get started in analytics?

I was curious about data and math at high school, so I started engaging with answering questions analytically early on. When it comes to my career, it came naturally after I enrolled in my stats undergrad.

Are there any recent innovations or technologies that you see as a game changer for analytics professionals?

I think the rise of cloud computing is the biggest game changer as it enabled us to really have the conversation about big data and AI in a meaningful way for the society. Also, deep learning and the ability to generalize from unstructured data is a big deal.

What are the unique challenges facing you in your current role at Soundcloud that you are looking to solve with analytics?

Most of my challenges today are organizational challenges - basically how to realize the potential of the technology we have available and our resources in the most optimal way. Analytics around organizations and people are, unfortunately, a bit behind.

What will you be discussing in your presentation?

I will be sharing my learnings from 6 years of hyper-growth at SoundCloud. You can see an intro here: https://medium.com/@_eleftherios/https-medium-com... but I will be going more in depth talking to an audience that understands the domain.

You can hear from Eleftherios, along with other experts in data analytics, at the Big Data & Analytics Innovation Summit. View the full agenda here.

Comments

comments powered byDisqus
Turkeyss

Read next:

What’s On Data Analysts’ Plates This Thanksgiving

i