📍 Utrecht, Netherlands
I work at the intersection of data, research, and business decision-making.
With a Master's in Data-Driven Design and a BSc in Physics, I bring an analytical approach to understanding complex problems, identifying patterns, and translating data into actionable insights.
My professional experience spans digital platforms, e-commerce, mobility, and AI-powered products, where I have worked with behavioural data, customer research, and business metrics to inform decisions and improve outcomes.
I use Python, SQL, statistical methods, and qualitative research to investigate problems, validate findings, and communicate insights to technical and non-technical stakeholders.
What interests me most: Understanding what is happening, investigating why it is happening, and identifying what the evidence means for business decisions.
| Area | Focus |
|---|---|
| Data Analysis | Exploratory data analysis, data cleaning, statistical analysis, trend identification |
| Business Intelligence | KPI analysis, performance monitoring, reporting, data-driven recommendations |
| Product Analytics | Customer behaviour, funnel analysis, retention, conversion, product performance |
| Applied Research | Quantitative and qualitative research, hypothesis testing, research synthesis |
| Predictive Analytics | Machine learning fundamentals, forecasting concepts, scenario-based analysis |
| Decision Support | Translating complex datasets and analytical findings into actionable business insights |
Languages & Analysis
Visualisation & BI
Data Platforms & Product Analytics
Research
Front-end
Workflow
Python | SQL | Exploratory Data Analysis | Machine Learning
A collection of analytical projects exploring data preparation, statistical analysis, machine learning, and data-driven problem-solving.
Explore my data science projects
Applied Research | Predictive Analytics | Human-AI Interaction
Master's research project developed in collaboration with Monks.
Investigated how AI-supported forecasting can help business users explore uncertain future scenarios and make more informed decisions.
Research and analytical contributions:
- Developed a hybrid recommendation approach combining similarity scoring and scenario-adjusted weighting.
- Applied Python-based data processing and analytical methods to support recommendation logic.
- Conducted research with nine participants to evaluate the interpretability of predictive outputs.
- Translated research findings into improvements in information clarity and decision support.
Research outcomes: 46% improvement in usability satisfaction and 38% reduction in task-completion time during prototype testing.
I'm interested in how data and emerging technologies can help organisations understand complex systems and make better-informed decisions.
My interests include:
- Business intelligence and data-driven decision-making
- Market intelligence and economic trends
- Predictive analytics and forecasting
- Supply-chain and operational analytics
- Human-AI interaction and interpretable machine learning
- Product analytics and customer behaviour
I'm interested in opportunities across Data Analytics, Business Intelligence, Applied Research, Market Intelligence, and Product Analytics.
Master, Data-Driven Design
HU University of Applied Sciences Utrecht, Netherlands
Research focus: AI-supported forecasting, responsible AI, research methodology, and data-informed decision-making.
Bachelor of Science, Physics
Science and Research Branch, Tehran, Iran