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From Food Labels to Reusable Ingredient Data
How our team built a traceable reference corpus and tested a human-in-the-loop workflow for linking Dutch food ingredients to FoodOn and ChEBI.
Data Science Portfolio
Articles, tutorials, and insights about data science, machine learning, and analytics. Sharing knowledge and experiences from my work in healthcare, sustainability, and business intelligence.
When Should AI Ask About Your Meal?
For my MSc thesis, I built Snap and Say, a food logging app that uses photos, voice, and selective follow-up questions to balance nutritional detail with ease of use for older adults.
Decoding the Dutch Diet: A Data-Driven Approach to Identifying National Meal Patterns
A deep dive into how I used Association Rule Mining and NLP-powered clustering on national survey data to identify popular Dutch dishes, analyze dietary trends over 15 years, and assess their nutritional quality.
Navigating the Ethical Minefield of DTC Genetic Testing: A Framework for Responsible Innovation
The multi-billion dollar Direct-to-Consumer (DTC) genetic testing industry is an ethical minefield. This post breaks down the key risks—from data privacy to flawed health reports—and proposes a framework for responsible innovation using data justice and co-design principles.
Uncovering Dietary Patterns to Predict Colorectal Cancer Recurrence: A Data-Driven Approach
A case study on using Latent Profile Analysis and Cox Proportional Hazards modeling to identify pre-diagnosis dietary patterns associated with colorectal cancer recurrence. We navigated complex, high-dimensional health data to deliver clinically relevant insights.
Calibrating for Accuracy: Validating a Dietary Questionnaire with Linear Regression
A case study on validating a new Food Frequency Questionnaire (FFQ) for dietary fiber intake. This post details the use of 24-hour dietary recalls as a reference method and the application of linear regression calibration to correct for measurement error, enhancing data accuracy for epidemiological research.
Forecasting Global Food Production Emissions: A Time Series Case Study
Analyzed multi-source data on global food production, population, and emissions using time series techniques. Developed and compared forecasting models (ARIMA, VAR) to predict future trends.
Predicting Chronic Kidney Disease: A Data-Driven Approach Using Machine Learning
Leveraging machine learning on clinical data to build a robust model for early Chronic Kidney Disease (CKD) detection, improving patient outcomes and potentially reducing healthcare costs.
PCOS Prediction Using Machine Learning: A Comprehensive Analysis
Building and evaluating machine learning models to predict Polycystic Ovary Syndrome (PCOS) using clinical and biochemical features, achieving high accuracy for early diagnosis.
From Tables to Triples: Constructing a Knowledge Graph for Chronic Kidney Disease Data
Leveraging Python, RDFLib, and standard medical ontologies (SNOMED-CT, LOINC) to transform tabular Chronic Kidney Disease data into a structured Knowledge Graph, highlighting data integration and problem-solving.
Unlocking Retail Insights: Analyzing SPAR Promotions with Big Data
Discover how a custom big data system helps SPAR analyze promotional effectiveness, basket size, and cannibalization effects using Apache Spark and advanced analytics.
Unlocking Chatbot Insights: My Journey Building a Performance Dashboard at Foot Locker
Discover the process behind creating a Power BI dashboard to monitor Foot Locker's chatbot performance, focusing on key metrics like deflection rate and escalations, and the valuable lessons learned.
Unifying Our Customer View: The Wageningen Academy & Professional Education CRM Integration Journey
Follow the journey of integrating two distinct CRM systems at Wageningen University & Research to enhance customer experience, boost efficiency, and drive cross-selling opportunities between Wageningen Academy and Professional Education.
Building Our CRM Future: The Journey and Learnings Behind Our 2023 Plan
Discover how Wageningen University & Research crafted its CRM Plan 2023—a strategic roadmap to break down silos, optimize data structures, and enable data-driven marketing for deeper customer insights and cross-selling opportunities.
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