Alex Drake is a Lead Data Scientist with over a decade of experience applying statistical modelling, anomaly detection and computer vision to urban transport challenges at Transport for London. Trained as a physicist at UCL, he blends rigorous quantitative thinking with practical engineering in R, Python, SQL and front-end visualization (d3.js) to turn complex sensor and operational data into actionable insight. He has progressed through analytic and data science roles at TfL, owning end-to-end predictive model delivery and productionised OpenCV object detection solutions that improve service reliability. Comfortable bridging research and deployment, Alex pairs experiment-led feature engineering with scalable pipelines and clear visual storytelling for stakeholders across Greater London. Outside the obvious stack, he brings RF/microwave design experience from MBDA, giving him a rare hardware-aware perspective on signal-rich transport data.
10 years of coding experience
15 years of employment as a software developer
Physics Mathematics Music Technology, Physics Mathematics Music Technology at Nelson and Colne College
Attempt to build a HTML5 game following Belén Albeza tutorial https://hacks.mozilla.org/2017/04/html5-games-workshop-make-a-platformer-game-with-javascript/
Contributions:18 PRs, 36 pushes, 4 branches in 6 years 5 months
Contributions:26 commits, 22 pushes, 1 branch in 4 months
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