I am a data scientist with over 10 years of experience using intricate data sets to solve complex problems for stakeholders across academia and the railway industry. I specialize in big data analytics, network modelling, and route transport resilience, and I’ve published internationally on data analytics, railway safety, and transport modelling. I enjoy translating complex analytics into actionable insights for diverse audiences and guiding strategic decisions with robust evidence. Beyond research, I’ve led cross-institution collaborations, including a consortium project with the Met Office to explore integrating operational data with adhesion forecasts, and I supported a strategic partnership with RSSB worth over £5 million. I earned my PhD from the University of Leeds and remain passionate about applying rigorous data science to real-world transportation challenges.

Rawia El Rashidy

I am a data scientist with over 10 years of experience using intricate data sets to solve complex problems for stakeholders across academia and the railway industry. I specialize in big data analytics, network modelling, and route transport resilience, and I’ve published internationally on data analytics, railway safety, and transport modelling. I enjoy translating complex analytics into actionable insights for diverse audiences and guiding strategic decisions with robust evidence. Beyond research, I’ve led cross-institution collaborations, including a consortium project with the Met Office to explore integrating operational data with adhesion forecasts, and I supported a strategic partnership with RSSB worth over £5 million. I earned my PhD from the University of Leeds and remain passionate about applying rigorous data science to real-world transportation challenges.

Available to hire

I am a data scientist with over 10 years of experience using intricate data sets to solve complex problems for stakeholders across academia and the railway industry. I specialize in big data analytics, network modelling, and route transport resilience, and I’ve published internationally on data analytics, railway safety, and transport modelling. I enjoy translating complex analytics into actionable insights for diverse audiences and guiding strategic decisions with robust evidence.

Beyond research, I’ve led cross-institution collaborations, including a consortium project with the Met Office to explore integrating operational data with adhesion forecasts, and I supported a strategic partnership with RSSB worth over £5 million. I earned my PhD from the University of Leeds and remain passionate about applying rigorous data science to real-world transportation challenges.

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Experience Level

Expert
Expert
Expert
Expert
Expert
Intermediate
Intermediate
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Language

English
Fluent

Work Experience

Senior Research Fellow at Institute of Railway Research (IRR), University of Huddersfield
April 1, 2022 - Present
Lead proof-of-concept data analytics initiatives for the railway sector, investigating the correlation between low adhesion conditions (as modeled by Met Office forecasts) and train driver performance using real-life data. Developed automated train driver competency indicators and online demonstrator tools to analyse service delays. Led a university–Met Office consortium project assessing the feasibility of integrating operational data with adhesion forecasts, mentoring team members and driving cross-disciplinary collaboration.
Research Fellow: Mathematician at Institute of Railway Research (IRR)
June 1, 2015 - March 1, 2022
Provided mathematical modelling and analytics support for railway resilience and data integration projects within IRR, contributing to feasibility studies and proof-of-concept work. Played a key role in mentoring colleagues and strengthening interdisciplinary collaboration across industry partners.
Senior Research Fellow (Data Scientist) at Institute of Railway Research (IRR), University of Huddersfield
January 1, 2015 - Present
Responsible for delivering proof-of-concept data-driven solutions to complex railway-industry problems. Internationally published researcher in data analytics, railway safety, and route transport modelling, and a frequent presenter at international conferences on network modelling and system resilience & vulnerability. Managed a consortium project between the University of Huddersfield and the Met Office to evaluate the feasibility of integrating operational data with adhesion forecasts. Provided big data analytics expertise to a strategic partnership project between the University of Huddersfield and the Rail Safety and Standards Board (RSSB) valued at over £5 million.
Senior Research Fellow (Data Scientist) at Institute of Railway Research (IRR), University of Huddersfield, United Kingdom
January 1, 2015 - Present
Responsible for delivering proof-of-concept work solving complex data-driven problems in the railway industry; internationally-published researcher in data analytics, railway safety and route transport modelling; managed a consortium project between University of Huddersfield and the Met Office identifying the feasibility of integrating operational data with adhesion forecasts; provided big data analytics expertise to a strategic partnership project between the University of Huddersfield and the Rail Safety and Standards Board (RSSB) worth over £5 million.

Education

PhD in Transport Network Resilience at University of Huddersfield
October 1, 2010 - November 1, 2014
MSc in Energy and Environment with Distinction at University of Huddersfield
September 1, 2008 - December 1, 2009
PhD in Transport Network Resilience at University of Leeds
January 1, 2010 - December 31, 2014
MSc (Distinction), Energy and Environment at University of Leeds
January 1, 2009 - December 31, 2009
BSc, Civil Engineering at University of Mansoura
January 1, 1993 - December 31, 1993
PhD at University of Leeds
January 11, 2030 - January 1, 2014
MSc (Distinction) Energy and Environment at University of Leeds
January 11, 2030 - January 1, 2009
BSc Civil Engineering at University of Mansoura, Egypt
January 11, 2030 - January 1, 1993

Qualifications

BSc in Civil Engineering
January 1, 1988 - May 20, 1993
Aurora Leadership Development for Women
January 1, 2021 - January 8, 2026
Advanced NEO4J/Cypher short course
January 1, 2017 - January 8, 2026
Aurora Leadership Development for Women
February 8, 2021 - June 22, 2021
Advanced NEO4J/Cypher short course
January 1, 2017 - January 8, 2026
Data Analyst course (Distinction)
January 1, 2024 - December 31, 2024
Introduction to ArcGIS Vector
January 1, 2012 - December 31, 2012
Geospatial Metadata Training
January 1, 2011 - December 31, 2011
Satum and Dracula Software Training
January 1, 2011 - December 31, 2011
White Rose Scholarship (PhD)
January 1, 2010 - December 31, 2014
ESPRC Scholarship (MSc)
January 1, 2008 - December 31, 2009
Data Analyst course
January 1, 2024 - January 8, 2026
Aurora Leadership Development for Women
January 1, 2021 - January 8, 2026
Advanced Neo4j/Cypher Short Course
January 1, 2017 - January 8, 2026
Introduction to ArcGIS Vector
January 1, 2012 - January 8, 2026
Geospatial Metadata Training
January 1, 2011 - January 8, 2026
Saturn and Dracula Software Training
January 1, 2011 - January 8, 2026

Industry Experience

Transportation & Logistics, Software & Internet, Professional Services, Education, Media & Entertainment