Thomas Wood is a data science consultant and founder of Fast Data Science with over a decade of experience delivering production ML solutions across NLP and computer vision, particularly for healthcare, pharma and large-scale consumer datasets. He advises and implements end-to-end projects—from strategy and technical due diligence to deployment on Azure/GCP—helping organisations extract value from messy text, imaging and behavioral data to predict churn, recommend products, and automate document understanding. Clients include NHS England, Boehringer Ingelheim, Tesco and CV-Library, where he produced actionable models that reduced operational waste and revealed non-obvious drivers of attrition. A Cambridge MPhil graduate and Microsoft Azure Data Scientist Associate, he blends research-grade techniques (deep learning, CNNs, seq2seq) with pragmatic cloud and engineering practices to deliver scalable Dockerized solutions. Notably, he is selective about engagements, operating as a consultant or contract lead rather than taking permanent roles.
10 years of coding experience
11 years of employment as a software developer
MPhil, Computer speech, text and internet technology, Final grade: 71.2% (pass mark: 55%)., MPhil, Computer speech, text and internet technology, Final grade: 71.2% (pass mark: 55%). at University of Cambridge
MSc, Physics, First Class with Honours, MSc, Physics, First Class with Honours at Durham University
Contributions:2 PRs, 80 pushes, 1 branch in 2 years
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