Hi, I'm Oliver, and I've been working as a Data Scientist for over five years now.

In that time, I've had the chance to tackle real problems across some pretty varied industries — aerospace, healthcare, banking, and supply chain — and honestly, that breadth is what I love most about this job.

My sweet spot is the full stack of data science. On any given project, I might be building medallion pipelines, orchestrating AutoML workflows in Databricks, or deploying deep neural networks for real-time anomaly detection. I've also built NLP applications using HuggingFace transformers — the kind of tools that are reshaping what's possible right now.

Some of my favourite projects? Predicting logistic hub workloads with under 13% error margin for a major supply chain operation, and training reinforcement learning agents to help optimize cancer radiotherapy planning. Very different problems, same mindset.

I hold active certifications in Databricks, AWS, Azure and Snowflake, and I work with Python, PySpark and MLflow on a daily basis. But here's the thing — I don't just know these tools from the docs. I've used them under production constraints, on real data, for decisions that actually mattered.