Services

End-to-end ML solutions from architecture to deployment, backed by 7+ years of experience

As a freelance decision scientist with a PhD and extensive industry experience, I bring experience from learning end to end delivery by doing everything, from model architecture and MLOps to project management and stakeholder management.

IoT ML Solutions

Batch analytics and predictive modeling for IoT systems. Built equipment monitoring solutions at Heineken using batch processing and machine learning.

Technologies: Python, Pandas, Scikit-learn, XGBoost, MLFlow, Evidently

Logistics Optimization

Supply chain and operations optimization using machine learning. Delivered demand forecasting and cost-benefit simulation at Heineken.

Technologies: Python, PyMC, Scikit-learn, Pandas, Polars, NetworkX

Data Engineering & Big Data

Large-scale data processing and distributed computing. Work with PySpark, cloud data lakes, and ETL pipelines.

Technologies: PySpark, Databricks, AWS, Azure, GitHub Actions

Entity Deduplication

Cleaning up duplicate records using fuzzy matching, phonetic algorithms, and ML for probabilistic record matching at scale.

Technologies: Python, Pandas, Polars, PySpark, RecordLinkage, Dedupe

RAG & LLM Applications

Building intelligent applications using Retrieval Augmented Generation. Delivered RAG-based knowledge retrieval system at Rabobank (production).

Technologies: LangChain, OpenAI, HuggingFace, ChromaDB, FAISS

Machine Learning Solutions

Custom ML models for business-critical applications. Built retention modeling at Rabobank, financial forecasting at Heineken (still used today).

Technologies: XGBoost, CatBoost, Scikit-learn, PyTorch, PyMC, Prophet

Marketing Analytics & MMM

Served as technical lead on one of Heineken's most successful analytics projects. Media Mix Modeling that captured tens of millions in value, still actively used for strategic decisions.

Technologies: Python, PyMC, Bayesian Modeling, Causal Inference

MLOps Implementation

End-to-end MLOps pipelines for reliable model deployment. Built deployment blueprints at Rabobank using Databricks, Docker, and MLFlow.

Technologies: Docker, Kubernetes, MLFlow, GitHub Actions, Databricks

Consulting & Training

Strategic guidance, hands-on implementation, stakeholder communication, and Python training with focus on best practices.

Focus areas: Data strategy, team enablement, ML engineering best practices

Let's Build Something Great

Whether you need someone to build from scratch, lead a complex delivery, or bridge technical and business needs, I bring the full range of experience.

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