About us
PyData is an educational program of NumFOCUS, a 501(c)3 non-profit organization in the United States. PyData provides a forum for the international community of users and developers of data analysis tools to share ideas and learn from each other. The global PyData network promotes discussion of best practices, new approaches, and emerging technologies for data management, processing, analytics, and visualization. PyData communities approach datascience using many languages, including (but not limited to) Python, Julia, and R.
The PyData Code of Conduct governs this meetup. (http://pydata.org/code-of-conduct.html) To discuss any issues or concerns relating to the code of conduct or the behavior of anyone at a PyData meetup, please contact NumFOCUS Executive Director Leah Silen (+1 512-222-5449; leah@numfocus.org) or the group organizer.
Upcoming events
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PyData Bradford - February Meetup
The Bradford Mechanics' Institute Library, 76 Kirkgate, Bradford BD1 1SZ, Bradford, GBDetails
We are excited to invite you to our first meetup of the year! For February 2026, we have Rukayat Balogun from DWP speaking on “Governance-by-Design: Building AI Systems That Meet Regulatory Expectations from Day One ” and Jihar Gifari speaking on “Marketing Mix Modelling (MMM) with Google Meridian”.
Event Schedule
18:00 - 18:15 - Arrival & Refreshment.
18:15 - 18:25 - Welcome.
18:25 - 19:10 - Governance-by-Design by Rukayat.
19:10 - 19:15 - Short Break.
19:15 - 20:00 - Marketing Mix Modelling (MMM) with Google Meridian by JiharGovernance-by-Design: Building AI Systems That Meet Regulatory Expectations from Day One - Rukayat Balogun
With evolving standards such as the EU AI Act and emerging national frameworks, AI governance is shifting rapidly from “nice to have” to “non-negotiable.” This talk walks through how to build AI systems that meet governance expectations from day one. Using Python-based tooling, we demonstrate how to embed traceability, risk categorisation, model documentation, fairness assessments, and privacy protections into the development lifecycle. Real-world examples illustrate how these techniques reduce compliance burden and improve user trust. The talk is ideal for engineering teams working with sensitive data or high-risk AI systems.
Marketing Mix Modelling (MMM) with Google Meridian - Jihar Gifari
Despite its wide applicability and growing demand, MMM remains relatively unfamiliar to many data scientists and practitioners. Historically, implementing MMM was quite challenging, but Google recently released Meridian, which makes the process much more accessible. I have applied this in a real client project, and many businesses currently spend significant amounts (often tens of thousands of pounds) on agencies for similar work. In this session, I can explain the core concepts of MMM and demonstrate how to implement them practically in Python using Google Meridian.
Announcement
Do you have anything you want to communicate to the organisers? Contact us directly at pydatabradford@gmail.comFill the form if you would like to speak at our future event
https://docs.google.com/forms/d/e/1FAIpQLSeWimPhe89P25FSR7Hq5PCVLieFgxP6eFWdw-tdeBW41cp7Zw/viewform6 attendees
Past events
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