Meenakshi Parameshwaran

United Kingdom






MSc in Computational Statistics and Machine Learning

University College London

Amongst others, I intend to complete modules in natural language processing, Bayesian methods, computer vision, and deep learning. I will also be writing a thesis as part of my studies.

DPhil in Sociology

Nuffield College, University of Oxford

My thesis was on “Social explanations for ethnic differences in educational outcomes”. A social justice quantitative research thesis that highlighted the overlapping economic and social inequalities faced by different pupil populations in the English school system. Alongside research and presentation skills, I completed modules in advanced statistical techniques, such as Structural Equational Modelling, Hierarchical Linear Modelling, Panel Data Analysis and Social Network Analysis using R.

MSc in Sociology

Wolfson College, University of Oxford

My thesis was on the effects of the educational maintenance allowance on post-16 participation and attainment. I competed modules in Sociology, Social Stratification, Sociology of Education, Political Sociology, introductory and intermediate statistics.

Qualified Teacher Status (QTS)

Canterbury Christ Church University

I achieved QTS through the Teach First programme.

BA in Philosophy, Politics, and Economics

Keble College, University of Oxford

I completed 4 economics modules and 4 politics modules.



Education Datalab, London, UK

I worked with colleagues from UCL and Education Datalab on an EEF-funded project looking at the predictive validity of commercial tests used in EEF trials.


Cambridge Assessment, Cambridge, UK

I worked as a researcher in the educational measurement team of this international assessment organisation. Projects included developing an automated malpractice detection system, comparing the performance of markers to senior examiners, and looking at the performance trajectories of different types of assessors.


Education Datalab, London, UK

I worked as a quantitative researcher to provide data management, analysis and research skills to this educational research and data company. I asked and answered pressing education policy questions using large national and international datasets, both specific to education and others (e.g. election data, local government data, census data). I also taught research, data and statistical skills to teachers and leaders, and presented research findings at conferences. Many of my research findings are publicly available through reports, academic articles, and blog posts.


LKMco, London, UK

I worked as a mixed methods researcher at this youth and social justice think-and-action tank. I was responsible for overseeing and delivering the large scale evaluation of the Inclusive Futures program for the Youth Sport Trust. I was a co-author of the “Why Teach?” national teacher survey report, which included a latent class analysis of teacher types and a predictive model of teacher drop out.


The Runnymede Trust, London, UK

I worked as a mixed methods researcher at race equality think tank. I carried out a mixed methods research project on the equality and diversity research and practices of a third-party research and policy organisation.

Evaluation officer

Teach First, London, UK

I was employed to provide research methods expertise and impact evaluation support and guidance within Teach First. I developed and distributed qualitative and quantitative research method resources. I also designed and implemented evaluation guides and templates across the organisation.

Postdoctoral research associate

Centre on the Dynamics of Ethnicity (CoDE), University of Manchester, UK

I was employed as a post-doc to analyse national secondary data and provide quantitative data support to project work packages on ethnicity related outcomes (health and wellbeing; racism and discrimination; educational inequality; social and geographic mobility).

PhD student and postdoctoral research assistant

Nuffield College/Department of Sociology, University of Oxford, UK

I was a DPhil and then postdoctoral researcher on the NORFACE-funded Children of Immigrants Longitudinal Study in Four European Countries (CILS4EU). I collaborated with university academics and research agency partners in four countries. I used CILS4EU and matched National Pupil Database data in DPhil thesis, which explored school and cohort compositional effects on learning outcomes. I passed my viva with minor corrections in June 2013.

Mathematics teacher

Teach First/Walthamstow Academy, London, UK

I was employed as a teacher of mathematics in a challenging inner city secondary school in London. I developed skills in communication, presentation, relationship management and leadership. I was responsible for the teaching, planning, assessing and learning of seven classes of students from age 11 through to 18. I had pastoral responsibilities for a year 8 tutor group. I achieved an “outstanding” QTS grade to become a qualified teacher. I also taught A-level sociology and Key Stage 3 PE.

Programming Skills

Data analysis

  R & RStudio

  SQL, Git & LaTeX

  Python, STATA & Tableau


My educational research interests focus on inequality in participation and attainment of pupils in the English school system. I have also carried out research on teacher recruitment, retention, and performance. From a sociological perspective, my research has centred around social class, race, ethnicity, and migration. I am also interested in research methods.


Drumming, Hiking, Camping, Biking, Running, Surfing.