Ian Ronk
Head of Data | Real Estate AI & Analytics
Based in Amsterdam, I lead data initiatives at KR&A, delivering AI-powered insights for European real estate funds, REITs, and institutional investors. With expertise in machine learning, geospatial analysis, and alternative data, I help transform complex data into investment decisions.
Core Competencies
Specialized skills and technologies for enterprise-grade geospatial solutions.
Machine Learning
Developing predictive models for real estate valuation, rent prediction, flood risk assessment (90%+ accuracy), and market forecasting using models, such as SAM, LVMs and Ensemble Methods.
Data Engineering and System Maintenance
Building robust data pipelines to process alternative data sources for European REITs, funds, and institutional investors, ranging from geodata to unstructured scrape data, using a distributed and dockerized Airflow system.
Geospatial Analysis and Spatial Econometrics
Advanced spatial analytics including agent-based modeling for gentrification prediction, computer vision on street-level imagery and spatially significant data science such as downsampling, yielding statistically robust results.
Scraping and Data Mining
Collecting and extracting insights from unstructured data, using cutting-edge tools, such as Captcha Solvers, Proxy Rotation and Selenium. I have done this for high frequency scraping, multi-year projects extracting 20+ million records.
Professional Journey
4+ years delivering data-driven insights for real estate investment across European markets.
Head of Data
KR&A | Europe | FinTech
Leading data strategy and AI initiatives for alternative data FinTech serving European real estate funds, assets, and REITs. Working on the rollout of a project aggregating, homogenising and visualising intracity data from world cities.
Medior Data Scientist
KR&A | Europe | FinTech
Delivered data-driven insights for real estate investment decisions. Built ML models for property valuation and market analysis across 15+ European markets, working on projects for leading real estate companies, pension funds and for Eurostat.
Junior Data Scientist
KR&A
Thesis on predicting flooding occurrences in Europe using alternative data and ML models, achieving 90%+ accuracy in risk classification and working on smaller items, preparing, aggregating and visualising data.
Junior Full Stack Developer
Exact (former SRXP)
Part-Time Full Stack Developer maintaining enterprise-grade digital declaration software, working with web technologies such as EmberJS, PHP and sensitive customer data, using CI/CD and testing.
Academic Accolades
Strong foundation in AI, data science, and business analytics from top European institutions.
M.Sc. Data Science & Business Analytics
Bocconi University
Thesis: Building an Agent-Based Model to Explain Gentrification in European Cities (Grade: 8/8)
B.Sc. Artificial Intelligence
University of Amsterdam
Focus on machine learning, NLP, and computational methods for data analysis.
Recent Work
Personal and academic projects showcasing my technical capabilities.
LanguageBuddy
An AI-powered language learning chatbot that helps users practice conversations in multiple languages with real-time corrections and adaptive difficulty.
ABM Gentrification Thesis
Master's thesis building an Agent-Based Model to explain and predict gentrification patterns in European cities. Grade: 8/8 at Bocconi University.