Psychology background
Trained to understand motivation, behaviour, and context — the human side of every metric.
Open to early-career roles in data, UX & insights
Understanding people through data.
Psychology and Behavioural Data Science graduate interested in data science, UX, product, and marketing insights. I combine behavioural science, data analysis, and user-centred research to understand how people interact with products, platforms, and digital experiences.
Profile
One profile, four perspectives
The combination matters: research training tells me which questions are worth asking, and data science training lets me answer them rigorously.
Behavioural Data Science
MSc-level training in modelling behavioural patterns with statistical and predictive methods.
UX & user research
Experience studying how people with different levels of data literacy actually use products.
Data & business insights
A parallel MSc in Consumer Marketing — turning analysis into recommendations stakeholders can act on.
Based in Amsterdam
Open to roles across the Netherlands and remote-friendly teams.
Early-career & ambitious
Looking for data science, analytics, UX research, and insights roles where I can grow fast.
Featured work
Projects as case studies
University research, internship work, and consultancy projects — written up the way I like to work: question first, method explicit, takeaway honest.
Predictive modelling2026
Predicting Student Dropout in Online Learning
Online learning platforms lose students silently — by the time dropout is visible, it is often too late to intervene.
- Role:
- Thesis researcher
- Methods:
- Machine learning, Predictive modelling, R
“Behavioural signals in activity logs can be turned into an early-warning perspective on dropout — before the student is already gone.”
Read case study
UX analytics2026
UX & Data Analytics at De Innovatiespotter
A data-rich platform needs to work for analysts and non-technical decision makers alike — and be findable by both search engines and AI assistants.
- Role:
- UX & Data Intern
- Methods:
- Power BI, SQL, Web analytics
“Analytics shows what users do; research explains why. Recommendations only become convincing when both line up.”
Read case study
Consultancy project2025
Engagement Analysis for Algebrakit
An ed-tech company had rich usage data from its learning platform, but no comparable measure of how difficult its subjects actually were for learners.
- Role:
- Data Analytics Consultant
- Methods:
- Engagement analysis, Statistical analysis, Data visualisation
“A good index compresses messy behavioural data into one number the client can actually reason with — without hiding what went into it.”
Read case studyExperience
Selected experience
Internship, research, and consultancy roles where behavioural questions met real data.
UX & Data Intern · De Innovatiespotter
Jan 2026 – present
Netherlands
Improving digital user experience and online performance by combining user-engagement analytics with search and discoverability work.
- Power BI
- SQL
- Web analytics
- SEO/GEO
- UX research
MSc Thesis Researcher · Prowise Learn
Jan 2026 – present
Netherlands
Master's thesis on dropout behaviour in computerised adaptive learning systems.
- Machine learning
- Predictive modelling
- R
- Python
Data Analytics Consultant · Algebrakit
Oct 2025
Netherlands
Analysed user engagement of an online learning platform and developed a subject-level difficulty index.
- Engagement analysis
- Statistical analysis
- Data visualisation
Skills & methods
A toolkit that spans the whole question
From framing a behavioural question, through analysis, to a recommendation someone can act on.
Data & programming
Tools I use to prepare, analyse, and model data.
- Python
- R
- SQL
- Power BI
- Excel
- SPSS
- JASP
Research & analytics
Methods for understanding behaviour quantitatively and qualitatively.
- Machine learning
- Big data analytics
- Bayesian inference
- Network analysis
- Psychometrics
- Quantitative research
- Qualitative research
- Web scraping
- Literature search
Product & communication
Turning analysis into decisions people can act on.
- Data visualisation
- Dashboard design
- Data storytelling
- UX research
- SEO & GEO
- Stakeholder communication
- Research reporting
Education
Where the two disciplines meet
Psychology for the questions, data science for the answers.
Sep 2025 – Aug 2026
MSc Psychology — Behavioural Data Science
University of Amsterdam · Amsterdam, Netherlands
Specialisation in modelling and predicting human behaviour, with a focus on machine learning, big data analytics, and data visualisation. GPA 8.5/10.
Selected highlights
- Machine learning and big data analytics
- Data visualisation
- Thesis with Prowise Learn: dropout behaviour in computerised adaptive learning systems
Sep 2025 – Aug 2026
MSc Business Administration — Consumer Marketing
University of Amsterdam · Amsterdam, Netherlands
Parallel master's focused on understanding consumers and markets. GPA 8/10.
Selected highlights
- Consumer Behaviour
- Marketing Research
Sep 2022 – Aug 2025
BSc Psychology
University of Amsterdam · Amsterdam, Netherlands
Major in Brain & Cognition with a minor in Behavioural Data Science. GPA 8/10.
Selected highlights
- Major: Brain & Cognition
- Minor: Behavioural Data Science
Sep 2017 – Jul 2022
High School Diploma
Saint-Joseph French High School · Istanbul, Türkiye
French-language secondary education. GPA 91.55/100.
How I work
Behind every data point is a person.
My psychology background encourages me to look beyond surface-level metrics and consider the motivations, behaviours, and contexts behind them.
I enjoy combining technical analysis with research thinking and communicating the results in a way that supports practical decisions.
Contact
Let’s turn behavioural data into useful insight.
I’m open to early-career opportunities in data science, analytics, UX research, and insights — and always happy to talk about interesting problems.