Darren Kidney
Senior Data Scientist ML Engineer, Nielsen Media Research
London, England, United Kingdom
Summary
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Senior🎓
Top SchoolDarren Kidney is a Senior Data Scientist and ML Engineer with 12 years’ experience applying statistical rigor and machine learning across ecology, finance, and digital marketing. Currently at Nielsen he builds and validates large-scale device graphs and Bayesian demographic models, combining community detection with novel panel-based evaluation metrics to improve audience inference. Proficient in R, Python, SQL, Spark and AWS, he has a track record of productionising high-throughput modelling pipelines and engineering textual feature sets for contextual targeting. His academic foundation (PhD and MSc in Statistics) underpins a practical bent for reproducible analytics, including in-house R packages and automated reporting. Darren’s work uniquely blends ecological-style population estimation thinking with commercial credit and marketing problems, enabling robust solutions for noisy, large-scale data. Based in London, he thrives on turning complex statistical ideas into scalable, verifiable products.
12 years of coding experience
4 years of employment as a software developer
Doctor of Philosophy (Ph.D.) Statistics, Doctor of Philosophy (Ph.D.) Statistics at University of St AndrewsBSc (Hons) Zoology, BSc (Hons) Zoology at The University of SheffieldGithub contributions (5)
david-borchers/secrgam
May 2014 - Aug 2014
Contributions:60 commits in 3 months
dkidney/gibbonsecr
Aug 2015 - May 2019
Contributions:104 pushes, 5 branches, 9 comments in 3 years 9 months
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