PyData Global 2022

Data Science Project Patterns that Work
12-01, 13:30–14:00 (UTC), Talk Track I

Getting your team to choose good projects, reliably derisk them, research ideas, productionise the solutions and create positive change in an organisation is hard. Really hard.
I'll present patterns that work for these 5 critical project stages. This guidance is based on 15 years of experience writing AI and DS solutions and 5 years giving both strategic guidance training on how to get to success.
You'll come away from the session with new techniques to help your team deliver successfully and increase their confidence in the roadmap, new thoughts on how to diagnose your model's quality and new ideas to make positive difference in your organisation.


Getting your team to choose good projects, reliably derisk them, research ideas, productionise the solutions and create positive change in an organisation is hard. Really hard.
I'll present patterns that work for these 5 critical project stages. This guidance is based on 15 years of experience writing AI and DS solutions and 5 years giving both strategic guidance training on how to get to success.
You'll come away from the session with new techniques to help your team deliver successfully and increase their confidence in the roadmap, new thoughts on how to diagnose your model's quality and new ideas to make positive difference in your organisation.
Ian will use case studies based on real client engagements (with positive and negative outcomes!) to illustrate the advice.


Prior Knowledge Expected

Previous knowledge expected

Ian is a Chief Data Scientist, has helped co-organise the annual PyDataLondon conference raising $100k+ annually for the open source movement along with the associated 11,000+ member monthly meetup.

Using data science he's helped clients find $2M in recoverable fraud, created the core IP which opened funding rounds for automated recruitment start-ups and diagnosed how major media companies can better supply recommendations to viewers. He gives conference talks internationally often as keynote speaker and is the author of the bestselling O'Reilly book High Performance Python (2nd edition). He has over 20 years of experience as a senior data science leader, trainer and team coach. For fun he's walked by his high-energy Springer Spaniel, surfs the Cornish coast and drinks fine coffee. Past talks and articles can be found at:

  • https://ianozsvald.com/
  • https://github.com/ianozsvald/
  • https://twitter.com/ianozsvald
  • https://www.linkedin.com/in/ianozsvald/
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