Mario Ureta

Economics graduate and data scientist with postgraduate training in quantitative analysis, current doctoral research experience and university teaching experience. My background combines statistical analysis, socio-economic research, data interpretation and stakeholder communication, with practical experience working in complex organisational environments. I hold an MSc in Data Science and Analytics and a Graduate Diploma in Data Science, and I am currently completing a PhD in Computing Science focused on computational modelling and socio-economic systems.

My work has involved sourcing, cleaning, analysing and interpreting complex data, comparing alternative analytical approaches and communicating findings clearly to both technical and non-technical audiences. Alongside my research, I teach in higher education and have a strong interest in the relationship between data, education, economic outcomes and public policy. I am particularly interested in roles where rigorous evidence can contribute to policy development and improve understanding of the higher-education and research landscape.

Graduate Teaching Assistant - Part-time - Birkbeck, University of London - London, UK

(2024-01)

• Teach and support undergraduate students in quantitative and computing-related subjects within a diverse higher-education environment.
• Explain statistical, analytical and technical concepts to students with different levels of prior knowledge.
• Provide structured feedback and individual support, adapting communication to the needs of different learners.
• Contribute to teaching delivery, student engagement and the wider learning experience.
• Developed further understanding of teaching practice and student learning through postgraduate study in higher-education teaching.

Operations, Training & Site Support - Part-time - University College School, London - London, UK

(2019-01)

• Work with managers, employees and internal stakeholders within a large independent-school environment.
• Deliver staff training and assessment and contribute to operational improvement, compliance and sustainability initiatives.
• Interpret operational information and communicate requirements clearly across teams with different levels of experience and responsibility.

Operations Manager - King's College London - London, UK

(2018-01 - 2019-12)

• Managed an operation involving more than 60 employees and an annual contract value of approximately £2 million.
• Used financial, staffing and performance information to support resource allocation and operational decision-making.
• Worked closely with senior university stakeholders, balancing service requirements, financial constraints and organisational priorities.
• Produced and interpreted operational information, monitored performance and contributed to continuous improvement initiatives.

Multi-Site Operations Manager - OCS Group

(2015-01 - 2018-12)

• Managed more than 125 employees across seven sites, requiring coordination of people, resources and competing priorities.
• Worked directly with clients and managers to understand requirements, resolve problems and maintain service performance.
• Monitored expenditure, staffing and performance information and used evidence to inform operational decisions.

PhD - Computing Science - Birkbeck, University of London

MSc - Data Science and Analytics - Brunel University London (2021-01 - 2023-12)

Graduate Diploma - Data Science - University of London / London School of Economics (2019-01 - 2021-12)

BSc (Hons) - Economics - Birkbeck, University of London (2015-01 - 2019-12)