CV

Professional Profile

Quantitative researcher and data analyst with over five years of experience designing and delivering research and analysing complex administrative, survey, behavioural and longitudinal datasets across academia, government and public-sector institutions. Experienced in statistical modelling, longitudinal analysis, causal inference, data integration, policy evaluation and mixed-methods research. Advanced user of R with experience in SQL, Python, Stata, Excel, Tableau and Power BI, including the development of reproducible analytical workflows for data processing, validation, analysis, visualisation and reporting.

My work spans UK health and social care, public policy, electoral behaviour, institutional reform and the use of artificial intelligence in government. I have experience managing research across the project lifecycle, working with sensitive data and information-governance requirements, coordinating teams and stakeholder-facing activities, and translating complex analytical findings into evidence for researchers, policymakers and non-technical audiences.

Research, Data & Technical Expertise

Quantitative Methods: Statistical modelling · Regression analysis · Longitudinal analysis · Causal inference · Predictive analytics · Hypothesis testing · Survey analysis · Administrative data analysis · Comparative analysis · Bayesian modelling · Trend analysis

Data Analysis & Programming: R · SQL · Python · Stata · Excel · Git · Tableau · Power BI · Data cleaning · Data transformation · Data integration · Data validation · Exploratory data analysis · Data visualisation · Reproducible analytical workflows · Automated reporting

Research & Policy: Quantitative research · Mixed-methods research · Policy evaluation · Research design · Evidence synthesis · Literature reviews · Behavioural research · Health and social care research · Public policy analysis · Research ethics · Data governance

Research Delivery & Communication: Research project delivery · Analytical design · Reporting · Publication and dissemination · Stakeholder engagement · Multidisciplinary collaboration · Technical reporting · Communication with technical and non-technical audiences

Professional Experience

Care Policy and Evaluation Centre, London School of Economics and Political Science — United Kingdom

• Design and deliver quantitative research examining adult social care, health services, inequalities and variation in service provision using large-scale administrative, survey and longitudinal datasets.
• Design and implement statistical analyses in R, including regression and longitudinal methods, selecting appropriate analytical approaches and assessing assumptions, limitations and robustness.
• Integrate, clean and validate complex datasets from multiple organisations and years, reconciling differences in definitions, geographical structures, missing information and data quality.
• Develop comparative analyses examining variation in service provision, expenditure, population characteristics and outcomes across local authorities and geographical areas.
• Develop reproducible analytical workflows in R to automate data processing, statistical analysis, visualisation and reporting, improving analytical efficiency, consistency and transparency.
• Combine statistical analysis with literature reviews and other evidence sources to answer complex policy and research questions.
• Produce analytical reports, data visualisations, methodological outputs and publications translating complex quantitative findings into accessible evidence for researchers, policymakers and other stakeholders.
• Collaborate with multidisciplinary researchers and external stakeholders to formulate research questions, develop analytical approaches and interpret results in their wider policy and service context.
• Work with sensitive health and social care data in accordance with research ethics, confidentiality, data protection and information governance requirements.

Selected research and analytical work: longitudinal analysis of health and social care trajectories; local-authority data integration and comparative analysis; variation in social care provision and outcomes; automated and reproducible analytics in R; and methodological work on causal inference.

The Mis(uses) of Artificial Intelligence in Public Policy, International School for Government, King’s College London — United Kingdom

• Conducted an extensive literature review on the application and governance of artificial intelligence in public policy, reviewing more than 50 academic papers, policy reports and other sources.
• Developed a structured database of 40 cases documenting the use of artificial intelligence by public authorities using governmental reports, news sources and other documentary evidence.
• Synthesised evidence on applications, risks and governance issues associated with the use of AI across public-sector settings.

Observatorio de Reformas Políticas en América Latina, National Autonomous University of Mexico — Mexico

• Collect and analyse quantitative and qualitative evidence on political and electoral reforms in Peru, including systematic analysis of electoral legislation.
• Develop research designs and contribute to comparative research on electoral institutions and political reform in Latin America.
• Contributed to the electronic publication of the Blog #ObservatorioReformas in collaboration with Voz y Voto.

Electoral Institute of Mexico City — Mexico

• Analysed operational and administrative information and produced analytical reports supporting electoral planning and organisational decision-making.
• Coordinated a team of twelve electoral specialists and information collection across operational stakeholders.
• Conducted field visits and evaluated the performance of polling locations during the Participatory Budget Consultation.
• Produced a comprehensive technical report containing findings and recommendations for improving electoral procedures and presented results to relevant stakeholders.

Electoral Documentation and Investigation Subdivision, National Office of Electoral Processes — Peru

• Designed and delivered quantitative and qualitative research projects examining electoral behaviour, public opinion, institutional performance and electoral policy.
• Conducted research using administrative, survey and documentary evidence and applied statistical methods to identify patterns and differences across populations, geographical areas and time.
• Integrated, cleaned and validated datasets from multiple sources, ensuring analytical consistency and accuracy.
• Managed research projects from analytical design through analysis, reporting, publication and dissemination, coordinating activities with government institutions, academics and external researchers.
• Produced research reports, statistical analyses, data visualisations and policy-relevant evidence for senior decision-makers and external audiences.
• Organised and participated in panels, seminars and other events to communicate research findings and promote discussion of electoral research.

High-Level Commission for Political Reform, Presidential Office of Peru — Peru

• Conducted research on political and electoral institutions using administrative datasets, legislation, policy reports and academic literature.
• Analysed quantitative evidence and produced statistical tables, indicators and visualisations using R and Excel.
• Coordinated meetings and evidence gathering with specialists, government institutions, civil-society organisations and other stakeholders.
• Co-authored technical documents containing proposals for electoral and political reform.

Electoral Process Operations Center, National Jury of Elections — Peru

• Led a four-person team responsible for updating, maintaining and producing analytical content for INFOgob, the Observatory for Governance.
• Developed research proposals in electoral studies using quantitative and qualitative approaches.
• Contributed to analytical reports on electoral politics using administrative and other quantitative and qualitative evidence.

Innovation for Development, Ministry of Education of Peru — Peru

• Conducted surveys and interviews with students, school principals, teachers and parents across 12 rural educational institutions.
• Organised and analysed quantitative information using R and Excel, producing tables and data visualisations.
• Contributed to the final report on rural education policy and presented findings to key stakeholders.

Editorial & Academic Leadership

National Office of Electoral Processes — Peru

• Led a five-member Publications Committee and coordinated the journal’s editorial workflow.
• Served as Editor-in-Chief for three consecutive editions of Elecciones.
• Managed the journal website and its day-to-day digital content.
• Contributed to the inclusion of Elecciones in 18 academic databases and indexing platforms, increasing the journal’s visibility.

Faculty of Social Sciences, Pontifical Catholic University of Peru — Peru

• Led a five-person Editorial Committee and coordinated responsibilities throughout the editorial process.
• Served as Editor-in-Chief for two editions covering subnational politics and illegality and informality in Latin America.
• Contributed to indexing the journal in Latindex and Dialnet.

Education

London School of Economics and Political Science, Department of Methodology — United Kingdom Dissertation (Distinction): Unravelling Party Discipline in the Global South: A Case Study of Peru Using Beta Regression Analysis. Advanced training in quantitative and qualitative research methods, statistical modelling, causal inference, research design and applied data analysis.

Pontifical Catholic University of Peru, Faculty of Social Sciences — Peru Dissertation (Distinction): Catching the Big Fish: Subnational Corruption in the Cases of Callao and Tumbes.

University of Hradec Králové, Faculty of Philosophy and Social Sciences — Czech Republic

Selected Publications

Fernández, J. L., Jaramillo, C. & Cartagena-Farias, J. (2025). Using administrative data to map social care trajectories post-hospital discharge. NIHR Policy Research Unit.

Fernández, J. L., Jaramillo, C. & Cartagena-Farias, J. (2025). Factors associated with variations in the type and intensity of local authority social care for older people: The role of the voluntary sector.

Jaramillo, C. (2023). “The Impossibility of Party Unity in Peru: Party Affiliation, Subnational Electoral Competition and Party Discipline (2011–2019).” Bulletin of Latin American Research.

Additional publications and research outputs are available on my publications page.

Awards, Grants & Recognition

Selected for travel funding and registration to attend the Large Language Models Workshop organised by the University of Oxford.

Competitive postgraduate scholarship awarded to 150 outstanding students from across Peru, covering academic and ordinary expenses for postgraduate study.

Awarded a $500 travel grant and conference registration to attend the International Congress of the Latin American Studies Association, based on proposal quality.

Recognised for outstanding achievement among theses submitted to the Faculty of Social Sciences at the Pontifical Catholic University of Peru.

Awarded by the Czech Ministry of Education to two students from the Pontifical Catholic University of Peru, covering educational and basic living expenses during the academic exchange.

Full scholarship awarded to 16 students, covering undergraduate enrolment, tuition and academic expenses.

Professional Development

Bayesian Modelling and Data Visualisation in R.

Large Language Models Workshop.

National Autonomous University of Mexico.

R programming, data wrangling, statistical modelling, machine learning and data visualisation.

Latin American Association of Political Science.

Languages

Spanish: Native
English: Fluent
French: Intermediate