Ian Ozsvald is a Principal Data Scientist and independent consultant based in London with 15+ years turning data science teams into consistently higher-impact organisations, repeatedly unlocking seven-figure value through pragmatic ML, NLP and process redesign. He advises CEOs and CTOs at scale-ups and enterprises, coaches cross-border teams, and embeds Python-first engineering practices to shorten time-to-production for models and analytics. Co-founder of PyDataLondon and co-author of O'Reilly's High Performance Python, he pairs public speaking and community leadership with hands-on delivery—from fraud discovery and regulatory text automation to insurance model deployment. Less obvious: he combines deep academic roots in AI and combinatorial optimisation with startup founder instincts, so he’s as comfortable designing high-performance algorithms as he is fixing dysfunctional delivery processes.
15 years of coding experience
17 years of employment as a software developer
BSc Theoretical Computer Science, BSc Theoretical Computer Science at Swansea University / Prifysgol Abertawe
MSc Artificial Intelligence, MSc Artificial Intelligence at University of Sussex
Access your meal tracking data stored in MyFitnessPal programatically
Role in this project:
Back-end Developer
Contributions:12 commits, 4 comments, 1 issue in 1 day
Contributions summary:Ian contributed to the development of the Python-based `myfitnesspal` library. Their work involved refactoring code, including switching to `OrderedDict` and addressing Python 3 compatibility issues related to string encoding and list concatenation. The user also implemented new features, such as fetching food data for multiple days, and added example usage to the demo file. These changes enhanced the library's functionality and compatibility.
Twitter text processing library (auto linking and extraction of usernames, lists and hashtags). Based on the Java implementation by Matt Sanford
Contributions:38 commits in 1 year 10 months
extractiontext-processinglinkinglistshashtags
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