Adam is a psychology graduate from University College London who in his spare time is completing a PhD into consumer preference formation and decision-making. He is responsible for developing advanced machine learning techniques that deliver benefits for clients and has also delivered dunnhumby’s applied machine learning training course.
What did he do?
Although just 26, Adam has already had a significant impact on the analytics processes being used by dunnhumby and on the value it is able to create for clients. As part of his role in deploying machine learning within the business, he has influenced senior leadership to invest in a new data science eco-system.
As part of a drive to democratise data science, he built a fully-automated system which scores six machine learning models each month which are delivered to one major client with little need for operational management. These scores identify which model is the best for forecasting customer behaviour, looking at how behavioural changes impact purchasing.
Advanced machine learning techniques he applied to identifying key purchasing characteristics of one client’s customers led to an annual profit increase of over £1.2 million. As a result, the client has been able to secure extra budget to invest in optimised marketing. An algorithm he developed as part of his PhD has automated the creation of customer segments by dunnhumby’s analysts, removing weeks of workload from its 350-plus analysts. The computational model he is developing in his studies will be tested in the recommendation engine of a major UK supermarket.
What did the judges say?
Being a Kaggle Master tells you Adam has real skills. Increasing profits for a client shows he is no unicorn. Exceptional.
To see the entire list of winners and finalists, click here.
Imagine you have been summoned to a high-level business meeting, flown 3,500 miles and shown into the biggest boardroom you have ever seen. Dauting enough in itself, but when the room fills up, you find yourself facing 50 senior executives...
With the skills gap being a perennial problem for companies that need data scientists, a good development programme would go some way to alleviating that issue by widening the talent pipeline and hopefully reducing employee turnover. Toni Sekinah speaks to Asheeka Hyde of Jaguar Land Rover, winner of the Best Development Programme prize at the DataIQ Awards, about the structure of its graduate scheme.
Many of the people who work in data have a background in STEM subjects but equally the study of arts and humanities can form a strong basis for a career in analytics. Tess Merkulova tells Toni Sekinah why it is important to her as a data professional to pay very close attention to detail, and what are the similarities between data and comparative politics, which she studied to degree level.
The BBC’s Shared Data Unit (SDU) is part of the Local News Partnerships programme in which the public corporation participates in collaborative journalism by working with regional news titles around the UK. With the SDU, the BBC is facilitating pr...
“There is a massive war for talent because everyone wants the best.” So said Kevin Fletcher, head of data at Her Majesty’s Revenue and Customs, acknowledging the heated competition among organisations that want to hire data professionals with the ...
Stay informed with DataIQ
Sign up to our newsletter and get the latest to your inbox.
I understand that DataIQ will use my contact information to email me about the products and services described within this email.