Peadar Coyle
Author Archive

Peadar Coyle

Peadar Coyle is a Data Analytics Professional based in Luxembourg. He has helped companies solve problems using data relating to Business Process Optimization, Supply Chain Management, Air Traffic Data Analysis, Data Product Architecture and in Commercial Sales teams. He is always excited to evangelize about ‘Big Data’ and the ‘Data Mentality’, which comes from his experience as a Mathematics teacher and his Masters studies in Mathematics and Statistics. His recent speaking engagements include PyCon Sei in Florence and he will soon be speaking at PyData in Berlin and London. His expertise includes Bayesian Statistics, Optimization, Statistical Modelling and Data Products

&Quot;Smile And Nod.&Quot; - Data Scientist Jeroen Latour On The Value Of The 'Big Data' Buzzword
Data ScienceInterviewsTechnology & IT

Jeroen is a Senior Data Scientist with a consultancy in the Netherlands called TriFinance and he will soon be joining the Booking.com team as a Data Scientist. He remarks on his analytics consultancy experience here which was formed both at IBM and TriFinance. Follow Peadar’s series of interviews with data

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&Quot;Three Main Classes Of [Big Data] Problem.&Quot; - An Interview With Chief Scientist Hadley Wickham
ConversationsData Science

I recently interviewed Hadley Wickham the creator of Ggplot2 and a famous R Stats person. He works for RStudio and his job is to work on Open Source software aimed at Data Geeks. Hadley is famous for his contributions to Data Science tooling and inspires a lot of other languages!

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&Quot;I Sense The Field Of ‘Data Science’ Seems In Danger Of Moving So Quickly That It Trips Over Itself&Quot;: An Interview With Geophysicist Matt Hall
Conversations

Matt Hall has a PhD in sedimentology from the University of Manchester, UK, and 15 years’ experience in the hydrocarbon industry. He has worked for Landmark as a volume interpretation specialist, Statoil as an explorationist, and ConocoPhillips as a geophysical advisor. Matt has a broad range of interests, from signal

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&Quot;I Strongly Prefer Looking Forward. There’s So Much To Build!&Quot;: An Interview With Ai Researcher Trent Mcconaghy
Artificial IntelligenceConversationsMachine Learning

Trent McConaghy has been doing AI and ML research since the mid 90s. He co-founded ascribe GmbH, which enables copyright protection via internet-scale ML and the blockchain. Before that, he co-founded Solido where he applied ML to circuit design; the majority of big semis now use Solido. Before that, he

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&Quot;Most Organisations Have Interesting And Potentially Valuable Datasets That Can Fit On A Laptop&Quot;: An Interview With Data Scientist Andrew Clegg
ConversationsRetail & ConsumerTechnology & IT

Andrew joined Etsy in 2014, and lives in London, making him their first data scientist who lives outside the USA. Prior to Etsy he spent almost 15 years designing machine learning workflows, and building search and analytics services, in academia, startups and enterprises, and in an ever-growing list of research

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'Big Data Started A Mentality Revolution': An Interview With Data Scientist Ignacio Elola
ConversationsIndustryTechnology & IT

Ignacio Elola is a self-proclaimed ‘data nerd, data punk and data scientist’ at import.io , a young startup that’s shaking up the world of data. With their free app, you can transform any website into a table of data or an API in minutes. Recently voted Best Startup by O’Reilly Strata Santa Clara,

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&Quot;Important Questions About The Human Condition Should Be Addressed With Data Science&Quot;: An Interview With Data Scientist Thomas Levi.
ConversationsData Science

Thomas Levi is a Data Scientist at Plenty of Fish (POF), a free online dating website based in Vancouver. Thomas has a background in theoretical physics and at one point worked in string theory. Much of his work has involved topic models and other cool algorithms Follow Peadar’s series of

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The Importance Of Soft Skills In Data Science
Data Science 101

When I first started working in data, I used to think it was all about the algorithms and tools. Now banging my head against the wall has helped temper some of that. I now see the Data Science role as including at least some management consultancy. Recently Max Shron in

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