Jessica Graves is a Data Scientist who currently works on fashion problems in New York City. She’s worked with Hilary Mason at Fast Forward Labs and keeps in regular contact with the London startup scene. She shares her unique perspective on the datafication of Fashion. She comes from a background

‘Big Data’ Analytics and Data Science are the latest buzzwords in corporate enterprises across the globe. Surprisingly it’s not just big players in the field who use them, rather companies in medium to small scale sectors. Regardless of the size of your enterprise, data is a valuable asset whether in

Kevin is President of MineThatData, a consultancy that helps CEOs understand the complex relationship between Customers, Advertising, Products, Brands, and Channels. Kevin supports a diverse set of clients, including internet startups, thirty million dollar catalog merchants, international brands, and billion dollar multichannel retailers. Kevin is frequently quoted in the mainstream

I completed a PhD in signal processing at Cambridge developing models of user behaviour using brain data. After the PhD I joined Skimlinks as a data scientist, where I model online user behaviour and work on much larger datasets. My main role is implementing large-scale machine learning models processing terabytes

Alice is an expert on building scalable Machine Learning models and currently works for Dato who are a company providing tooling to help you build scalable machine learning models easily. She is also a keen advocate of encouraging women in Machine Learning and Computer Science. Alice has a PhD from UC

Brad Klingenberg is the Director of Styling Algorithms at Stitch Fix in San Francisco. His team uses data and algorithms to improve the selection of merchandise sent to clients. Prior to joining Stitch Fix Brad worked with data and predictive analytics at financial and technology companies. He studied applied mathematics

Rosaria has been a researcher in applications of Data Mining and Machine Learning for over a decade. Application fields include biomedical systems and data analysis, financial time series (including risk analysis), and automatic speech processing. She is currently based in Zurich, Switzerland.   What project have you worked on do you

Trey Causey is a blogger with experience as a professional data scientist in sports analytics and e-commerce. He’s got some fantastic views about the state of the industry.   What project have you worked on do you wish you could go back to, and do better? The easy and honest

Natalie leads the data team at GoCardless, a London startup specialising in online direct debit. She cut her teeth as a PhD student working on biomedical control systems before moving into finance, and eventually Fintech. She is particularly interested in signal processing and machine learning and is presently swotting up

Thomas is Data Science Lead at Quantopian Inc which is a crowd-sourced hedge fund and algotrading platform. Thomas is a cool guy and came to give a great talk in Luxembourg last year – which I found so fascinating that I decided to learn some PyMC3 Follow Peadar’s series of