Michael Mahony
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Michael Mahony Email & Phone Number

Geospatial Data Scientist at Mott MacDonald
Location: Liverpool, England, United Kingdom 10 work roles 3 schools
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Current company
Role
Geospatial Data Scientist
Location
Liverpool, England, United Kingdom
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Michael Mahony is listed as Geospatial Data Scientist at Mott MacDonald, a with 23900 employees, based in Liverpool, England, United Kingdom. AeroLeads shows a matched LinkedIn profile for Michael Mahony.

Michael Mahony previously worked as Data Scientist and Associate Researcher at University Of Liverpool and Data Scientist / Associate Researcher at University Of Liverpool. Michael Mahony holds Doctor Of Philosophy - Phd, Migration & Social Statistics from University Of Liverpool.

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Mott MacDonald

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Profile bio

About Michael Mahony

Data Scientist and Researcher interested in leveraging data-driven insights to decarbonise our towns and cities. My current expertise include time-series modelling, regression analysis, computational causal methods, geospatial modelling and tree-based machine learning. I recently completed a PhD in migration studies, where I employed statistical and machine learning methods to examine the long-term labour market experiences of UK migrants, and how these experiences are influenced by features in the local environment. I also published 2 research articles (2 more currently in review) and produced additional analyses for external stakeholders at the International Organisation for Migration (IOM) and Chilean Department of Immigration and Migration (DIM).Prior to my PhD, I worked as Geography Teacher in East London, where I was responsible for managing the time, behaviour and long-term progress of 200+ students across range of ages and abilities. In this role, I delivered learning outcomes for up to 150 students a day, equipping me with strong time-management, communication and leadership skills. Outside of work, I also co-founded a running club in 2020, where I created and organised virtual, multi-day running events, co-ordinating teams of ~20 people and raising more than £5000 for educational charities.Moving forwards, I'm interested in developing methods, technologies and policy that improve the capacity of our urban environments to mitigate and adapt to climate change. I'd therefore love to hear about any work which contributes to this goal.If you have any questions, feel free to contact me via email at M.R.Mahony@liverpool.ac.uk.Competencies: R (Advanced), Python (Experienced), Time-series modelling (Advanced), Regression Analysis (Advanced), Data Visualisation (Advanced), Causal Methods, Spatial Statistics, SSH, SQL, Tableau, GitHub, QGIS, Microsoft Office Suite.

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Mott MacDonald
Mott Macdonald
Geospatial Data Scientist
Liverpool, GB
Website
Employees
23900
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10 roles

Michael Mahony work experience

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Data Scientist / Associate Researcher

Liverpool, England, United Kingdom

• Employed statistical analysis, in R, to validate novel migration dataset created by Chilean Department of Migration (CDIM).• Identified outliers and systematic biases, allowing CDIM to publish dataset with detailed annotations on its reliability.

Phd – Understanding And Predicting Long-Term Labour Market Trajectories Of Immigrants In The Uk

• Managed 4-year research project, publishing 3 research papers that employ advanced statistical methods in R & Python.• Implemented time-series modelling techniques to analyse integration patterns of newly arrived migrants. • Applied computational causal methods to estimate impact of ethnic neighbourhoods on migrants’ economic outcomes.• Identified key social and economic factors associated with successful immigrant labour market integration over 5-30 years.• Revealed bias in existing neighborhood research and identified 3 minority groups vulnerable to labour market exclusion.• Organised and chaired 1-in-4 lab meetings, coordinating across departments to peer-review students’ research.

Oct 2019 - Mar 2024

Data Scientist / Associate Researcher - Random Forest, Xgboost, Geospatial Modelling

Liverpool, England, United Kingdom

• Trained Random Forest & XGBoost models, in R, to predict future bus ridership in Brisbane (Australia) using 10.66M bus rides.• Models had RMSE of 2.49 & 2.48 riders and predicted effect of extreme weather. Results were published in academic paper.• Utilised epidemiological models to analyse impact of deprivation on under-reporting of COVID-19. Included in research paper.

Jan 2020 - Aug 2020

Earth Observation Intern - Gdal, Scikit-Learn, Synthetic Aperture Radar

Reading, England, United Kingdom

• Employed tree-based machine learning to predict cropped area boundary of 300+ UK fields using SAR time-series data.• Developed and deployed software, using object-oriented Python code, to automate boundary prediction in future projects.

Sep 2022 - Dec 2022

Data Scientist / Associate Researcher - Sentiment Analysis, Topic Modeling, Twitter Api

Liverpool, England, United Kingdom

• Applied topic modelling and sentiment analysis to 30.39M migration-related tweets collected across 5 countries, measuring online attitudes towards immigrants in Europe and the USA during the early stages of pandemic.• Collaborated with researchers from the Barcelona Supercomputing Center and IOM to produce 3 research publications.

Sep 2020 - Dec 2020

Geography Teacher - Time Management, Communication, Presentation Skills

Brampton Manor Academy

London, United Kingdom

• Managed time, behaviour and long-term progress of 200+ students across range of ages and abilities.• Communicated and delivered learning outcomes for up to 150 students a day.

Jul 2016 - Aug 2018

Trainee Geography Teacher

The Sheffield Scitt

Sheffield, United Kingdom

Sep 2015 - Jul 2016
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3 education records

Michael Mahony education

Bachelor’S Degree, Land Economy, 2.1

Activities and Societies: President (2014) and Events Co-ordinator (2013) of the Afrinspire Cambridge Student Society

FAQ

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What company does Michael Mahony work for?

Michael Mahony works for Mott MacDonald.

What is Michael Mahony's role at Mott MacDonald?

Michael Mahony is listed as Geospatial Data Scientist at Mott MacDonald.

Where is Michael Mahony based?

Michael Mahony is based in Liverpool, England, United Kingdom while working with Mott MacDonald.

What companies has Michael Mahony worked for?

Michael Mahony has worked for Mott Macdonald, University Of Liverpool, Assimila Ltd, Iom - Un Migration, and Brampton Manor Academy.

Who are Michael Mahony's colleagues at Mott MacDonald?

Michael Mahony's colleagues at Mott MacDonald include Karen Chan, Simon Harth, Michael Cheetham, Andrew Wardlow, and Pimo Hypka.

How can I contact Michael Mahony?

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What schools did Michael Mahony attend?

Michael Mahony holds Doctor Of Philosophy - Phd, Migration & Social Statistics from University Of Liverpool.

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