I combine business research, data analysis and market intelligence to investigate business questions. I’m particularly interested in the automotive industry and the growing role of Chinese brands in Europe.
Explore selected work
Vrije Universiteit Amsterdam · 2021–2026
Specialisation: Digital Business & Innovation
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This is roughly how I approach analytical work: start with the question, build something useful, check whether it holds up, and improve it before explaining the result.
Each step links to an example from my work.
I start with the question and what the result needs to support.
Bank Marketing · Contact capacityI build a first useful version and examine what the data shows.
News workflow · Collecting and organisingI check the sources, outputs and assumptions against the question.
EV comparison · Source and comparability checksI look for gaps, compare alternatives and refine the work.
Lead ranking · Comparing models and limitsI explain the result, trade-offs and important limitations.
Lead ranking · Precision and coverage01 / Market Intelligence & Competitor Analysis
I screened eight selected models to establish a consistent price-and-range comparison for market research.
4 of 8 selected models meet common Dutch price-and-range criteria. Research screening, not a market-entry recommendation.
02 / Business Intelligence & Customer Analytics
If a marketing team cannot contact everyone, who should it prioritise? I compared shortlist sizes using recorded subscription outcomes.
The top 20% contained 545 of 1,058 observed subscribers (51.5%). Historical enrichment, not causal uplift.
Original VU team: 9/10 · Statistical Analysis Lead
Displayed analysis: later portfolio adaptation.
03 / Research Automation & Information Analysis
Following automotive news was becoming hard to keep up with. I structured 700 RSS records so I could review the relevant articles more easily.
Rule-based classification and lexicon-based polarity. No runtime LLM or live monitoring.
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04Business Analysis & Requirements Engineering
I refined requirements, use cases and checks for a simulated sales-order process.
24 requirements · 3 user stories · 4 use cases · 18 designed checksProposed design; checks not executed.
05Descriptive Data Analysis
I compared trip duration and weekday patterns across recorded user types.
126,816 recorded trips · 2015Historical trip statistics, not unique customers.
06Predictive Analytics & Decision Support
I compared ranking models for a fixed 100-record contact capacity.
70/100 positives · 70% precision · 6.62% captureHistorical holdout, not live conversion rates.
Academic contextProject 02 · Bank Marketing · Original university team assignment
Original university team assignment · Vrije Universiteit Amsterdam
9/10
Original group submission
“your group achieved the highest grade among the group assignments.”
Edona ElshanCourse instructor · Vrije Universiteit Amsterdam
Oliver’s documented role
Statistical Analysis Lead
9/10 and instructor feedback refer to the original VU team assignment; this portfolio case is a later adaptation.
I’ve been a car enthusiast for as long as I can remember, and I’ve been interested in China for years. Seeing those two interests increasingly come together as Chinese EV brands expand in Europe is what makes the industry especially interesting to me.
Those interests led me to build my EV comparison and automotive-news projects. My interest in China extends beyond cars and is one reason I’ve been learning Mandarin.
Outside my projects, I spend quite a bit of time in the gym or running. I enjoy travelling, cooking, getting absorbed in a good book and spending time with friends. Meditation has become part of my daily routine and is something I value.
My interest in China goes beyond the automotive industry. I’ve been learning Mandarin for some time and want to keep developing it. I enjoy following technology too, and regularly listen to Satoshi Radio, The AI Report and Turing Station, partly to stay informed, but mostly because I find the subjects interesting.
Languages
Dutch · Native
English · Fluent
Mandarin · Elementary (HSK 2)
For my BSc thesis, I reviewed research on how organisations implement AI and blockchain. The literature suggested that combining them can add complexity without necessarily creating value. What I took from it was the importance of staying critical without becoming closed to innovation: keep watching, learning and reassessing as technologies develop.
Read full thesisIndividual research · Systematic literature review
AI, blockchain and organisational implementation
“The screening, selection, and coding of articles was well-documented, demonstrating a thoughtful analysis approach.”
I’m interested in opportunities in business intelligence, data analysis and market intelligence. Feel free to get in touch.
mail@oliverdebruin.nl