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Hi there, I'm Zeynep!

I'm a behavioural data scientist who combines psychology and data to understand consumer behaviour, improve user experiences, and support data-driven decision-making.

Portrait of Zeynep Sude Demir

In a nutshell

Psychology

With a background in psychology, I look beyond the numbers to uncover the human behaviour, motivations, and decisions behind the data.

Data Science

I use big data, statistical modelling, and machine learning to uncover meaningful patterns and turn them into useful insights.

Business Impact

With a background in marketing and business, I translate data-driven insights into practical recommendations and measurable business impact.

Based in Amsterdam

I'm based in Amsterdam and open to new opportunities, collaborations, and remote-friendly projects.

User Experience

I combine behavioural insights and user data to understand people's needs and create more intuitive digital experiences.

My Experience

De Innovatiespotter

UX & Data Intern

January 2026 – June 2026
  • Analysed user engagement and clickstream data to identify usability barriers and improve the digital user experience.
  • Designed interactive Power BI dashboards that supported client decision-making.
  • Contributed behavioural insights to the redesign of the online platform and the development of an AI-assisted search tool.
  • Conducted SEO, GEO and LinkedIn performance analyses to improve online visibility and audience engagement.

Prowise Learn

MSc Thesis Researcher

January 2026 – August 2026
  • Applied machine-learning and statistical models to identify students at risk of dropout.

Prowise

Data Analytics Consultant

January 2026
  • Analysed teacher and student engagement data to examine how teacher activity was associated with student usage and progress.

AlgebraKiT

Data Analytics Consultant

October 2025
  • Analysed user engagement data from an online learning platform.

Prowise

Data Visualisation Project

October 2025
  • Created a dashboard highlighting the most important metrics related to students’ feedback-looking time.

My skills

  • Machine learning
  • Big data analytics
  • Data visualisation
  • Bayesian inference
  • Network analysis
  • Psychometrics
  • SEO / GEO
  • Quantitative research
  • Qualitative research
  • UX research
  • Predictive modelling
  • Clustering
  • Logit leaf modelling
  • Multi-state survival analysis

Tools

  • Python
  • RStudio
  • SQL
  • Power BI
  • Excel
  • SPSS
  • JASP
  • Canva

My background

Bachelor of Science in Psychology

University of Amsterdam

GPA: 8/10

  • Bayesian inference
  • Quantitative research
  • Psychometrics
  • Python
  • Excel
  • SPSS
  • JASP

Master of Science in Psychology — Behavioural Data Science

University of Amsterdam

GPA: 8.5/10

  • Machine learning
  • Big data analytics
  • Network analysis
  • RStudio
  • SQL

Master of Science in Business Administration — Consumer Marketing

University of Amsterdam

GPA: 8/10

  • SEO / GEO
  • Qualitative research
  • Canva

The values that make me who I am

Curiosity

I like to ask "why?", challenge assumptions, and look beyond the obvious to uncover deeper insights.

Human-centred thinking

I care about the person behind the data and believe technology should be designed around real human needs, behaviours, and experiences.

Collaboration

I enjoy collaborating with others, communicating insights to stakeholders, and creating an environment where open communication and constructive feedback are valued.

Let's connect the dots.

I'm open to early-career opportunities in data, UX, and consumer insights.