Olivia Guest
Legal Officer at Doncaster Council
Doncaster, England, United Kingdom
Summary
👤
Senior🎓
Top SchoolOlivia Guest is a Legal Officer at Doncaster Council with 12 years' professional experience and a first-class LLB in Law with Criminology earned after maternity leave, reflecting resilience and strong time-management under personal pressures. She has practical frontline legal experience from Leeds Beckett Law Clinic and regulatory compliance work at Go Green Ltd, combining client-facing advisory skills with policy and procedural oversight. Olivia has been published in the Leeds Law School blog and the Sunday Times advocating for student parents and mental health, showing a commitment to social impact beyond casework. Unusually for a legal professional, she also contributes to open-source data science tooling—improving visualization and annotation in a Python Self-Organising Map library—demonstrating analytical rigour and attention to code quality. Based in Doncaster, she brings a pragmatic, research-informed approach to childcare law and compliance, with a knack for clear legal writing and stakeholder communication.
12 years of coding experience
8 GCSEs including Mathematics (7), English Literature (6), English Language (5)., 8 GCSEs including Mathematics (7), English Literature (6), English Language (5). at Hall Cross AcademyBachelor of Laws - LLB, Law with Criminology, Bachelor of Laws - LLB, Law with Criminology at Leeds Beckett UniversityBusiness (Distinction*), Applied Law (Distinction*), Criminology (B), Business (Distinction*), Applied Law (Distinction*), Criminology (B) at New College Doncaster
Italian, French, English, Greek
Github Skills (7)
data-visualizations10
data-visualization10
data-visualisation10
python10
matplotlib10
numpy9
machine-learning8
Programming languages (14)
Github contributions (5)
sevamoo/SOMPY
May 2016 - May 2016
A Python Library for Self Organizing Map (SOM)
Role in this project:
Data Scientist
Data ScientistContributions:5 commits, 1 PR, 15 comments in 1 day
Contributions summary:Olivia's contributions primarily involve enhancing the visualization aspects of the SOM library, specifically focusing on the U-matrix representation. They implemented functionality to label data points on the U-matrix, refined the annotation process for clarity, and addressed a bug to ensure labels are correctly displayed. The user also made tidying-up changes, suggesting a focus on code readability and maintainability. Their work directly improves the usability of the library for data analysis and exploration using SOM.
pythonself-organizing-map
oliviaguest/smm
Feb 2014 - Jul 2014
Contributions:23 commits in 4 months
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