Data Conference Databasea Query.Farm index
Speakers

Leanne Fitzpatrick

Employers on the program

  1. 2025–2026Financial Times2 talks
  2. 2019HelloSoda1 talk
Events3
Conferences3
Talks32 keynotes
Years active2019–2026
Miles between events4,9623 in-person events · 2 countries

The year around now

Talks in the past 12 months and announced talks ahead, one row per conference, January to December. Hover a mark for the talk.

JanFebMarAprMayJunJulAugSepOctNovDecEARLEARL (Enterprise Applications of the R Language)
Held in the past 12 months Next 12 months Today, Nov 9, 2026

Appearances by year

201920202021202220232024202520262027
  • Data Day Texas
  • EARL (Enterprise Applications of the R Language)
  • PyData

Talks

DateEventConferenceRoleTitleLinks
Oct 6, 2026EARL 2026: Data Intelligence ConferenceEARL (Enterprise Applications of the R Language)keynoteUntitled
as Financial Times
Jun 6, 2025PyData London 2025PyDatakeynoteOpening Notes & Keynote: Keep Calm and Data On: Being a data science practitioner in the era of AI proliferation
as Financial Times
Since the end of 2022, the AI space has reached unprecedented velocity, scale and proliferation. When it seems like everyone (and their dog) is talking about…Show less

Since the end of 2022, the AI space has reached unprecedented velocity, scale and proliferation. When it seems like everyone (and their dog) is talking about AI, how should those of us who've been working in Machine Learning, Data Science (and AI) as domain experts look to navigate the conversation?

Jan 26, 2019Data Day Texas 2019Data Day TexasspeakerShipping a Machine Learning model to Production; is it always smooth sailing?
as HelloSoda
Allowing data services to be deployed in production environments can have many barriers to entry, from culture to frameworks to real-time practicalities. Many…Show less

Allowing data services to be deployed in production environments can have many barriers to entry, from culture to frameworks to real-time practicalities. Many data scientists are trained to develop machine learning models, but how can these seamlessly be integrated into the rest of the production technology stack and what pain points can this bring?

Frequent co-speakers

No one else spoke at two or more of the same events.

Speakers with the same name are merged into one entry, so this page may combine more than one person. Affiliations are shown as each conference listed them.