Andrew Clegg
Data Science & Machine Learning Consultant
London, England, United Kingdom
Summary
👤
Senior🎓
Top SchoolAndrew Clegg is a data science and machine learning consultant based in London with 14 years of experience applying statistical models and scalable engineering to product problems. He has led teams and technical strategy at organizations including Pearson and Etsy, driving personalization, recommendation systems, and learner analytics that influence product features and business decisions. Comfortable spanning research and production, he has built ML infrastructure and data pipelines using open-source stacks (ElasticSearch, Hadoop, HBase) and applied tools from Python and R to D3 visualizations. Earlier roles in music information retrieval and social media analytics reflect a talent for extracting signal from noisy, high-throughput data and shipping real-time systems. He holds a PhD in computational linguistics and an MSc in bioinformatics, a background that underpins strengths in text and sequence mining as well as interdisciplinary communication. Known for mining surprising insights that improve digital products, he combines hands-on engineering with product-focused storytelling to turn complex data into actionable features.
13 years of coding experience
14 years of employment as a software developer
MSc, Bioinformatics (Distinction), MSc, Bioinformatics (Distinction) at Birkbeck, University of LondonBSc Hons. (2:1), History & Philosophy of Science, BSc Hons. (2:1), History & Philosophy of Science at University College London, U. of London
Github Skills (77)
statistics9
python9
prediction9
machine-learning9
data-programming9
data-analysis9
scikit8
espn8
mining8
backend8
logistic-regression8
scikit-learn8
nd4j8
maths8
rxjava8
Programming languages (4)
Github contributions (5)
snake-charmer-devs/snake-charmer
Apr 2014 - Oct 2014
Contributions:30 commits in 6 months
data-analysispythonmathsminingself-contained
andrewclegg/andrewclegg.github.io
Feb 2015 - Dec 2017
Contributions:25 pushes in 2 years 10 months
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