Pauliina Vuorinen, PhD

Data Science Consultant, 01/2025-

Tietovisio Oy, Freelancer at Taso Research Oy

Skills used: R, git, python, questionnaire design, quantitative and qualitative research, data-analyses including clustering, regression analyses, classification, network analysis

As a datascience consultant, I'm responsible for sustainable and effective data solutions in projects with high societal importance. I take care of (and occasionally lead) the research planning, data-analyses, and presenting the results to stakeholders. For example, I have built a motivation-based customer profiling for a third sector client, and undertaken qualitative research design and analysis for a well-known Finnish organisation.

Data Scientist, 09/2024-01/2025

Taloustutkimus Oy

Skills used: R, questionnaire design, quantitative research, data-analyses: structural equation modelling, k-means, market basket analysis, multilevel modelling, regression analyses

I was working as a data scientist in a market research unit providing innovative, data-driven solutions to clients. I was responsible for large-scale projects in the advertising and financial sectors. In these projects, I endeavoured to turn clients' complex problems into effective solutions by integrating new techniques and my knowledge of psychology with data science. I was also responsible for identifying new measures to match clients' needs, creating questionnaires, and presenting results to stakeholders.

PhD Researcher, 09/2019-08/2024

School of Informatics, University of Edinburgh, Scotland

Skills used: R, Git, research design, project management, research method design and implementation, measure identification, data-analyses: multilevel modelling, regressionanalyses, hypothesis testing

My PhD was a interdisciplinary research project between informatics and psychology. I focused on studying the effects of motivation on adults' natural reading behaviour. Within five years of hard work, I created a new research method to observe reading behaviour unobtrusively, and used the method across three large-scale studies. An important part of the work was the identification of reliable behavioural measures and data-analysis using multilevel modelling. The research was funded by the Scottish government (ESRC SGSSS) and it was supervised by Prof Frank Keller (Edinburgh, informatics) and Prof Ben Tatler (Aberdeen, psychology).

Thesis: http://dx.doi.org/10.7488/era/4870

Qualitative Research Assistant, 03/2024-06/2024

School of Education, University of Edinburgh, Scotland

Qualitative research and transcription of interviews for 'Reading and Wellbeing' research project conducted by Prof Sarah McGeown and Dr Nicola Currie.

Informatics, Psychology and Writing tutor, MSc thesis assistant supervisor, 01/2020-05/2022

School of Informatics, University of Edinburgh, Scotland

Skills used: Teaching (statistics, neural networks, cognitive psychology, research design, APA referencing, academic writing), marking essays

I taught psychology and informatics in the University of Edinburgh across three different courses. The courses in psychology covered statistics, cognitive psychology, research design and APA referencing, whereas informatics was focused on perceptrons, neural networks and human brain structure. I also worked as an academic writing instructor via the School of Psychology Skills Centre that seeks to support students in their studies. I led several dozen different one-to-one meetings with students and helped them with the structure, wording, editing and argumenting in essays and dissertations.

In addition to my teaching duties, from March to August 2021 I worked as an assistant supervisor for a masters student working on a dissertation on knowledge graphs and questionnaire design.

Other work experience: Housing organisation, Students' research conference organiser, Athena Swan Gender-equality representative, Front of house staff, Children's instructor, and Au Pair

PhD in Informatics, 09/2019-08/2024

School of Informatics, University of Edinburgh, Scotland

See work experience for more detail

BSc & MRes Psychology, 09/2014-08/2019

School of Psychology, University of Aberdeen, Scotland

Undergraduate and Research Masters degree in Psychology. An award for the best undergraduate thesis in psychology. BSc Psychology with Honours and MRes Psychology with Distinction

Courses:

Data architecture, University of Vaasa, 05/2925-07/2025

Basics of data architecture including OLAP cubes

Tools used: Javascript, JSON, XML, Python

Basics of Databases, University of Tampere, 02/2025-05/2025

Basics of SQL, ER-diagrams, and database structures

Vuorinen, P. T. E. (2024, October). Uusi analyysimenetelmä paljastaa tekijät brändien suosion takana. Taloustutkimus Oy.https://www.taloustutkimus.fi/ajankohtaista/uutisia/uusi-analyysimenetelma-paljastaa-tekijat-brandien-suosion-takana.html

Vuorinen, P. T. E., Tatler, B. W., & Keller, F. (2024). Tracking e-reading behavior: Uncovering the effects of task-context, electronic experience, and motivation. Frontiers in Education, 8.https://doi.org/10.3389/feduc.2023.1302701

Vuorinen, P. T. E. (2023, May). How do adults read e-books? Exploring the connection to motivation and experience with e-reading. The British Educational Research Association (BERA). https://www.bera.ac.uk/blog/how-do-adults-read-ebooks-exploring-the-connection-to-motivation-and-experience-with-e-reading

Vuorinen, P. T. E., Tatler, B. W., & Keller, F. (2022, September). How do we read e-books? A large-scale study of adults’ natural e-reading behaviour and the influence of motivation. [Conference presentation]. The European Society for Cognitive Psychology (ESCOP) 2022, Lille, France.

Vuorinen, P. T. E., & Tatler, B. W. (2021). To Skim or Not to Skim: An Experimental Investigation of Electronic Academic Reading Strategies. [Conference poster]. International Society for the Empirical Study of Literature (IGEL) 2021, Liverpool, England.