Search – talk-data.com

Title & Speakers	Event
PyDataMCR Code Night - November 2025-11-17 · 18:30 PyDataMCR Code Night - November Have a data project or some coursework? Want to get to talk it through with your data peers? Come to our Code Night at Social Refuge! A night to work on your own project, with supportive peers available for advice. Ask for tips from others more experienced than yourself, or teach somebody else something great! WHAT YOU WILL NEED - A laptop - A project (optional!\, feel free to join us for a chat or to provide others with advice). HOW IT WILL WORK 1830-2030 Come down and join us to Social Refuge to work on some code together. You'll have an opportunity to share any problems you're working on with other attendees. After the event we'll head around the corner to Seven Brothers for some post-event socialising. Location We'll be at Social Refuge: Ancoats, join us downstairs! The capacity is limited to 40 people, so sign up early for a spot! EVENT GUIDELINES PyDataMCR is a strictly professional event, as such professional behaviour is expected. PyDataMCR is a chapter of PyData, an educational program of NumFOCUS and thus abides by the NumFOCUS Code of Conduct https://pydata.org/code-of-conduct.html Please take a moment to familiarise yourself with its contents. ACCESSIBILITY Under 16s welcome with a responsible guardian. There is a quiet room available if needed. Toilets and venue are accessible. SPONSORS Thank you to NUMFocus for sponsoring Meetup and further support. Thank you to Autotrader, Krakenflex and Horsefly Analytics for their ongoing support and sponsorship of PyDataMCR.	PyDataMCR Code Night - November
Event PyDataMCR November 2025-11-12
Faireness and Inclusivity in AI Systems 2025-11-12 · 18:30 Tito Osadebey – AI researcher and data scientist @ Keele University; Synectics Solutions; Unify Fairness and inclusivity are critical challenges as AI systems influence decisions in healthcare, finance, and everyday life. Yet, most fairness frameworks are developed in limited contexts, often overlooking the data diversity needed for global reliability. In this talk, Tito Osadebey shares lessons from his research on bias in computer vision models to highlight where fairness efforts often fall short and how data professionals can address these gaps. He’ll outline practical principles for building and evaluating inclusive AI systems, discuss pitfalls that lead to hidden biases, and explore what “fairness” really means in practice. Tito Osadebey is an AI researcher and data scientist whose work focuses on fairness, inclusivity, and ethical representation in AI systems. He recently published a paper on bias in computer vision models using Nigerian food images, which examines how underrepresentation of the Global South affects model performance and trust. Tito has contributed to research and industry projects spanning computer vision, NLP, GenAI and data science with organisations including Keele University, Synectics Solutions, and Unify. His work has been featured on BBC Radio, and he led a team from Keele University which secured 3rd place globally at the 2025 IEEE MetroXraine Forensic Handwritten Document Analysis Challenge. He is passionate about making AI systems more inclusive, context-aware, and equitable bridging the gap between technical innovation and human understanding. AI/ML Data Science GenAI NLP
Building a price comparison website using AI 2025-11-12 · 18:30 Alex Lewzey – ML Engineer Building a price comparison platform requires solving multiple ML challenges at scale. This talk covers a year-long production project combining LLMs, graph algorithms, and computer vision. We'll explore: Orchestrating complex ML workflows with Vertex AI Pipelines Using Gemini to classify products, extract attributes, and generating titles/descriptions Connecting product variants across retailers with graph algorithms Deduplicating images using computer vision You'll learn practical lessons from deploying these systems in production, including trade-offs and challenges encountered along the way vertex ai pipelines gemini graph algorithms computer vision llms

PyDataMCR November 2024-11-21 · 18:30 PyDataMCR November THE TALKS Developing High-Resolution Models for Future UK Climate Extremes - Rob Shooter (He/Him) Extreme events of climatological variables have the potential to cause significant damage to buildings and infrastructure in the UK. With the expected effects of climate change, these extremes are likely to increase in magnitude. Therefore, estimating the size of future extreme events, such as 100-year precipitation events, is important for climate adaptation strategies, where high resolution is also often desired. In this talk, Rob will give an overview of some approaches to estimating present-day extremes of environmental hazards, then describe how 2.2 km resolution climate data can be used to produce estimates of 100-year precipitation events in the year 2070, detailing some of the computational challenges that need to be overcome. Rob has a background in statistics, working mostly on spatial statistics models applied to environmental data. He has previously worked at the Met Office and EDF Energy, developing models for extreme values of precipitation and temperature across the UK for present-day and future timescales. From Data Science to Data Engineering - Kerry Parker (She/Her) Do you know the difference between Data Science and Data Engineering? Or are you considering moving from one role to the other and want to know more? During this talk, Kerry will share her experience and learnings from working in both roles and what you might expect when making the jump. Kerry is a Data Engineer at BJSS with a background in physics and over 5 years experience as a Data Scientist across several industries. With a recent move from Data Science to Data Engineering, Kerry will share her experience of the difference in roles. Location We'll be at AutoTrader, who are kindly supplying the venue and catering. The capacity is limited to 80. EVENT GUIDELINES PyDataMCR is a strictly professional event, as such professional behaviour is expected. PyDataMCR is a chapter of PyData, an educational program of NumFOCUS and thus abides by the NumFOCUS Code of Conduct https://pydata.org/code-of-conduct.html Please take a moment to familiarise yourself with its contents. ACCESSIBILITY There is a quiet room available if needed. Toilets and venue are accessible. SPONSORS Thank you to NUMFocus for sponsoring Meetup and further support. Thank you to AutoTrader for their sponsorship and for the awesome venue and catering! Thank you to Krakenflex for sponsoring PyDataMCR.	PyDataMCR November
PyDataMCR & R-Ladies - Code Night - November 2023-11-14 · 18:30 PyDataMCR & RLadies Manchester are teaming up for a jointly hosted code night. Have a data project or some coursework? Want to get to know your peers? Come to Code Night! A night to work on your own project, with supportive peers available for advice. Ask for tips from others more experienced than yourself, or teach somebody else something great! WHAT YOU WILL NEED A laptop A project (optional!, feel free to join us for a chat or to provide others with advice). HOW IT WILL WORK Event Starts (18:30) - Come down and join us at the Slalom office for some food and drinks. You'll have an opportunity to share any problems you're working on with other attendees. During Event - Put any questions or conversation topics you want to discuss to the PyData community, its likely someone will be interested and have an opinion! Event Closes (20:00) - After the event we'll all head somewhere local for some post-event socialising. EVENT GUIDELINES PyDataMCR is a strictly professional event, as such professional behaviour is expected. PyDataMCR is a chapter of PyData, an educational program of NumFOCUS and thus abides by the NumFOCUS Code of Conduct https://pydata.org/code-of-conduct.html Please take a moment to familiarise yourself with its contents. ACCESSIBILITY The venue is wheelchair accessible, though please let us know in advance if this is needed. Drinks will kindly be provided by Slalom, if you have any dietary requirements please supply them when signing up to the event and we can make sure you feel welcome too! Under 16s welcome with a responsible guardian. SPONSORS Thank you to NUMFocus for sponsoring Meetup and further support. Thank you to Slalom for generously hosting us in their offices. HOW DO I GET STARTED? Don't have python or R? Download Anaconda (https://anaconda.org/) OR Use Google Colab (https://colab.research.google.com/) OR Download R & RStudio (https://posit.co/download/rstudio-desktop/) Don't have a project? You can always help others in the Slack Channel or in person.	PyDataMCR & R-Ladies - Code Night - November

Activities & events