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Jonathan Bourne Email & Phone Number
Honorary Research Fellow: Centre for Advanced Spatial Analysis
at
UCL
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Current company
Role
Honorary Research Fellow: Centre for Advanced Spatial Analysis
Location
London Area, United Kingdom, United Kingdom
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Who is Jonathan Bourne? Overview
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Jonathan Bourne is listed as Honorary Research Fellow: Centre for Advanced Spatial Analysis at UCL, a company with 73 employees, based in London Area, United Kingdom, United Kingdom. AeroLeads shows a matched LinkedIn profile for Jonathan Bourne.
Jonathan Bourne previously worked as Data Scientist at Silverstream Technologies and Data Scientist at Little Bear Data. Jonathan Bourne holds Doctor Of Philosophy (Ph.D.), Complex Networks And Data Science from Ucl.
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UCL
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Profile bio
About Jonathan Bourne
I’m a highly motivated, organised and creative data scientist with a strong academic background and 7 years’ experience finding solutions to complex business problems across the finance, energy, housing, recruitment and conservation sectors.With a PhD in complex network analysis and a Masters in datascience, I apply critical thinking and academic rigour to help stakeholders define the right questions, before gathering, manipulating, exploring, interpreting and modelling data to discover insights, make predictions and help organisations make better decisions in the face of uncertainty.Working with large structured and unstructured datasets, I have proven expertise in data analysis, methodology design, model development and enhancement, documentation writing, results delivery and interpretation. Bringing strong communication skills and experience in cross-functional environments, I’m highly adept at translating technical content for non-technical stakeholders and business audiences, using data visualisation tools to effectively inform decision makers.Personally, I thrive on bringing order and structure, and removing painful processes and bottlenecks to reduce the burden of inefficiencies and free individuals and organisations to focus on the strategic job at hand. I love nothing more than solving problems with robust, repeatable, time-saving solutions that improve quality and make everything easier.To date, I’m particularly proud of:Implementing an open-source library for measuring ship performance. The library replicates the ITTC global standard and providing clear documentation and transparency.Leading the team that won the US Department of State's 2017 Zoo hackathon, where we developed an image recognition anti-poaching tool using deep learning.Creating a cost model of hydro power plants based on thier physical characteristics, which outperformed the nationally used benchmark model.Developing the SETSe (Strain Elevation Tension Spring embeddings) algorithm, which can be used for a range of graph and network applications such as clustering, graph differentiation and classification, dynamics in social groups, and robustness of networks under attack.My github is at https://github.com/JonnoBI am skilled in:Data analysisData cleaningData visualisationData centric modellingAlgorithmic designAlgorithmic optimisationClusteringGraphical modelsNetwork scienceMachine learningDeep learningUn/Supervised learningDocumentationStructured dataUnstructured dataRPythonNLPDockerSQLCloud platforms: AWS & HPC
Current workplace
Jonathan Bourne's current company
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Ucl
9 roles
Jonathan Bourne work experience
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Data Scientist
CurrentCombining Engineering and Data Science approaches to develop the organisations data analysis capability and capacity.-Developing robust methods for analysing ship performance-In depth analysis of ship performance and system capability-Documenting generation pipelines for rapid performance analysis-Structuring and optimising analysis processes-Creating.
Sep 2022 - Present
Honorary Research Fellow: Centre For Advanced Spatial Analysis
CurrentResearch in applied quantiative geography, in areas related to Housing and financial equality- Supervising Msc student projects- Collaborations with the universities of Kingston, Oxford, and Sheffield- Secured two grants worth £220k for research projects
Apr 2022 - Present
Data Scientist
Little Bear Data
Perform freelance data science, machine learning and statistical work for industry and academia. - Built an NLP model for Legal Monitor using data cleaning, data centric modelling and deep learning techniques to accurately predict the practice area of lawyers and deliver super human capability. - Led the team that won the US Department of State's 2017 Zoo.
Dec 2017 - Sep 2022
Phd Student
The key elements of the PhD used complex unstructured data, algorithmic design and optimisation, extensive data cleaning, monte-carlo simulation and high performance computing. During my PhD I published several peer reviewed scientific articles and created several open source software packages.
Jan 2017 - Sep 2021
Data Scientist
Worked as a data scientist in the Behavioural Economics and Data Science Unit of the FCA. - Developed classification models to predict financial distress in regulated companies. - Undertook supervised learning (linear and non-linear), clustering, data cleaning, ETL and visualisation. - Worked with cross-functional departments to help them understand their.
Jul 2016 - Dec 2016
Maintenance Analyst
Used data science, regression and clustering techniques to model and report on national and international power station benchmarking. - Introduced data science approaches and machine learning concepts into the power production division of the company. - Developed an interpretable benchmarking model that outperformed the model used by Norwegian power.
Jan 2012 - Jun 2016
Proposal Analyst
Developed modular systems and models to support the commercial sales operation. - Developed a modular tendering package, covering both technical and pricing elements, reducing bid time by 90% and dramaticallyreducing errors. - Developed a product reliability model to predict tool lifetime in customer well conditions. - Gave technical presentations.
Dec 2009 - Dec 2011
Sales Support Engineer
Roxar
During my time in this role, I redesigned the cost model to create a modular tender package covering the full subsea product range. This modular approach covered both technical and cost aspects of the bidding process, dramatically reducing bid preparation time—the modular nature of the process allowed for iterative changes resulting in improved bid.
Sep 2007 - Dec 2009
3 education records
Jonathan Bourne education
Doctor Of Philosophy (Ph.D.), Complex Networks And Data Science
Master’S Degree, Data Science, Distinction
Master’S Degree, Mechanical Engineering, 2:1
FAQ
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What company does Jonathan Bourne work for?
Jonathan Bourne works for UCL.
What is Jonathan Bourne's role at UCL?
Jonathan Bourne is listed as Honorary Research Fellow: Centre for Advanced Spatial Analysis at UCL.
Where is Jonathan Bourne based?
Jonathan Bourne is based in London Area, United Kingdom, United Kingdom while working with UCL.
What companies has Jonathan Bourne worked for?
Jonathan Bourne has worked for Ucl, Silverstream Technologies, Little Bear Data, Financial Conduct Authority, and Statkraft.
How can I contact Jonathan Bourne?
You can use AeroLeads to view verified contact signals for Jonathan Bourne at UCL, including work email, phone, and LinkedIn data when available.
What schools did Jonathan Bourne attend?
Jonathan Bourne holds Doctor Of Philosophy (Ph.D.), Complex Networks And Data Science from Ucl.
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