PyDataMCR November

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.