Nick Ball
Senior Data Scientist
San Francisco, California, United States
Summary
👤
Senior🎓
Top SchoolNick Ball is a senior data scientist with two decades of data science experience and a deep focus over the last 10 years on building data science platforms and MLOps-enabled ML delivery. With a PhD in Astronomy and early postdoctoral work applying machine learning to 100M+ object datasets, he helped pioneer large-scale scientific data mining and cloud-like infrastructure for astronomy (CANFAR). He has led product and technical strategy across startups and enterprise teams—shaping roadmaps, delivering PoCs for fraud detection, and driving end-to-end platform architecture at Dotscience, Paperspace (now DigitalOcean) and Oracle. Comfortable as a full-stack/generalist practitioner, he combines research pedigree with hands-on system design and clear external communication through blogs, demos and talks. An organized, even‑tempered problem-solver, he uniquely bridges academic big-data research and practical commercial MLOps solutions.
5 years of coding experience
14 years of employment as a software developer
Bachelor of Arts (BA) Natural Sciences, Bachelor of Arts (BA) Natural Sciences at University of CambridgeDoctor of Philosophy (Ph.D.) Astronomy, Doctor of Philosophy (Ph.D.) Astronomy at University of Sussex
Github Skills (26)
gradient10
cli10
python9
vms8
recommender6
machine-learning6
docker4
recommender-system4
mlops3
huggingface3
natural-language-processing3
deep-neural-networks3
tensorflow3
nlp3
recommendation-system3
Programming languages (4)
Github contributions (5)
Paperspace/ml-in-a-box
Sep 2021 - Oct 2021
Machine learning tool-set for Paperspace VMs
Contributions:28 commits, 3 comments, 2 issues in 18 days
vmslearning-toolmachine-learningmlopspaperspace
gradient-ai/Deep-Learning-Recommender-TF
Jun 2021 - Nov 2021
Contributions:29 commits, 22 pushes in 5 months
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