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Dan Kellett's Page
Profile Information
- Short Bio:
- I love data.
There’s nothing more exciting than using the information we have all around us to understand more about how people interact with the world through their financial products.
As head of the UK Data Lab at Capital One I lead a cross-functional team that is changing the way we do business. We use the latest distributed computing technologies and operate across many billions of customer transactions. The models and data products that my team build unlock big opportunities for the business and help UK consumers save money and reduce friction in their financial lives.
Capital One is a founder led company on a mission to change banking for good by bringing simplicity and humanity to all that we do. We’re a business dedicated to helping our customers succeed through digital solutions. We pride ourselves on attracting and developing the best talent. Our people are the key to our success and ultimately what makes Capital One the number one Great Place to Work in the UK for the past 3 years!
I'm interested in connecting with other Data Scientists, Statisticians or Data Visualisers to discuss advances in the fields.
I'm also on the look-out for ambitious, talented people to join my team as we build out our capabilities, using data to Change Banking for Good!
- My Website or LinkedIn Profile (URL):
- http://uk.linkedin.com/in/kellettdan
- Field of Expertise:
- Business Analytics, Predictive Modeling, Data Mining, Vizualization, Statistical Consulting
- Years of Experience in Analytical Role:
- 16
- Professional Status:
- Director
- Interests:
- Networking, Recruiting
- Your Company:
- Capital One
- Industry:
- Banking
- Your Job Title:
- Director of Data Science
Dan Kellett's Blog
Open sourcing 'spot the difference'
Posted on July 21, 2017 at 1:30am 0 Comments 0 Likes
Capital One UK’s Data Science team has been focused on move from proprietary (paid-for) software to open source for some time now.
There are several key benefits to making this change. Open source software is prevalent in academia which makes it much easier for our new starters to hit the ground running, building models and analysing data on day one with the company (the switch has also been a terrific development opportunity for my team to learn new skills). Our team now has greater…
ContinueMaking data science accessible – Data Munging
Posted on August 9, 2016 at 1:00am 0 Comments 0 Likes
By Dan Kellett, Director of Data Science, Capital One UK
Over the past few months my blogs have attempted to demystify some of the techniques used by Data Scientists to build models or process large amounts of data. For all the flashy techniques and algorithms this is not where Data Scientists spend 90% of their time. The hard yards of any analysis lies in…
ContinueMaking data science accessible – HDFS
Posted on July 21, 2016 at 2:00am 0 Comments 0 Likes
By Dan Kellett, Director of Data Science, Capital One UK
Disclaimer: This is my attempt to explain some of the ‘Big Data’ concepts using basic analogies. There are inevitably nuances my analogy misses.
What is HDFS?
When people talk about ‘Hadoop’ they are usually referring to either the efficient storing or processing of large amounts of data. MapReduce is a framework for efficient processing using a parallel, distributed algorithm…
ContinueMaking data science accessible – Neural Networks
Posted on July 5, 2016 at 10:47am 0 Comments 0 Likes
By Dan Kellett, Director of Data Science, Capital One UK
What are Neural Networks?
Neural Networks are a family of Machine Learning techniques modelled on the human brain. Being able to extract hidden patterns within data is a key ability for any Data Scientist and Neural Network approaches may be especially useful for extracting…
Continue
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