Andreas van den Boogaard

Conversation Designer

The largest insurance comparison platform in the Netherlands, 20M+ visitors a year.

• Played a key role in migrating Indy from a rule-based chatbot to a fully LLM-driven agent on an agentic AI platform, with RAG, tool calls, API integrations, and custom Python for edge cases
• Built AI automation across the support stack: smart tagging of knowledge base articles, conversation summarisation, language detection, and intent capture, to provide live customer service agents with extra context
• Built an internal onboarding AI agent for new customer service agents using a multi-agent setup across complex finance and insurance domains
• Researched bias in LLM outputs for sensitive insurance recommendations, generating synthetic counterfactual data to test whether recommendations shifted with protected attributes
• Set up a production connection between our agentic AI platform and Independer's backend for custom analytics dashboards and synthetic data generation via persona agents

Data Consultant

• Worked with non-profits and small organisations to answer questions they didn't yet have data for
• Designed surveys from scratch to gather data on limited budgets, conducted statistical analysis including regression
• Delivered actionable reports, e.g. helping a non-profit identify which local businesses to target for a new regional platform

MSc Economics

Completed coursework in econometric modelling, regression and time series analysis, and causal inference methods such as instrumental variables, difference-in-differences, and regression discontinuity. Developed practical skills in data-driven evaluation. Sparked a broader interest in data science and machine learning.

BA Philosophy (English Programme)

Graduated magna cum laude. Studied formal logic, analytic philosophy, philosophy of language, philosophy of science, and ethics. Developed a particular interest in philosophy of mind and questions around machine intelligence. Complemented the philosophy curriculum with quantitative coursework in statistics and economics.