Guy Maskall
Senior AI Consultant at 38 Labs
Forest of Dean, England, United Kingdom
Summary
👤
Senior🎓
Top SchoolGuy Maskall is a Senior AI Consultant and seasoned data scientist with over 20 years of experience applying machine learning and signal processing to sensors ranging from radar and sonar to Raman spectroscopy and hyperspectral imaging. He combines deep academic rigour (PhD in statistical pattern recognition) with product-driven engineering—his work on liquid explosive detection contributed to a MacRobert Award and global airport deployments. Comfortable from research to production, he architects data pipelines and ML tooling (Python, xarray, dask, FastAPI) that shrink turnaround from days to minutes and enable scalable inference. As a technical lead and instructor he mentors teams and students, and his open-source teaching exercises demonstrate practical data-manipulation skills for newcomers. Based in the Forest of Dean, he brings a rare blend of applied physics, sensor-domain expertise and cloud/ML engineering that consistently turns complex sensing problems into deployable systems.
10 years of coding experience
25 years of employment as a software developer
Bachelor of Science (BSc) Physics, Bachelor of Science (BSc) Physics at Imperial College LondonDoctor of Philosophy (PhD) Statistical pattern recognition, Doctor of Philosophy (PhD) Statistical pattern recognition at University of BirminghamUniversity College London
Github Skills (7)
data-visualizations10
pandas10
jupyter-notebook10
data-visualization10
data-visualisation10
python10
data-analysis10
Programming languages (6)
Github contributions (5)
gtmaskall/dsc_intro
Oct 2018 - Jul 2019
Exercises to accompany the free Springboard introductory data science "taster" course.
Role in this project:
Data Scientist
Data ScientistContributions:19 commits, 14 PRs, 8 pushes in 8 months
Contributions summary:Guy contributed a pandas exercise notebook, demonstrating skills in data manipulation and analysis with pandas. They addressed specific questions using DataFrame operations and created visualizations, including calculating statistics and generating plots. The user also added a case study notebook, focusing on identifying and extracting business IDs based on category keywords, preparing the data for further analysis.
pythonsciencedata-sciencespringboardintroductory
gtmaskall/testsrc
Jun 2020 - Sep 2022
Test source repo for playing with GitHub Actions
Contributions:6 PRs, 16 pushes, 2 branches in 2 years 3 months
playing
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