Senior Data Scientist · AI & Data Consultant

I find the pattern underneath — and turn it into value.

World Champion, PhD computational scientist, now building enterprise AI for energy. The throughline: rigour, performing under pressure, and shipping things people actually use.

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What I do

Enterprise AI, grounded in real data

I lead the data and retrieval side of production AI systems — turning large, messy, real-world data into secure, explainable answers inside the tools people already use.

Enterprise RAG & AI platforms

End-to-end retrieval: ingestion, embeddings, indexing, retrieval tuning and prompt optimisation — with source traceability and access control built in.

RAGAzure OpenAIAzure AI Search

Data engineering on Azure

Pipelines and platforms on Microsoft Fabric and OSDU — structured and unstructured data wrangled into something queryable at scale.

Microsoft FabricOSDUSQL

A scientist's rigour

A PhD in computational chemistry and four peer-reviewed papers — years of reducing complex systems to something you can reason about, applied to enterprise data.

PhDSimulationStatistics

Selected work

Things I've built

A snapshot — growing as I publish more projects and write-ups.

Side project · Data viz

Nasjonale prøver — school results explorer

An interactive map that turns Norway's open national-test data into a decision tool: aggregate several years, filter by county, municipality, grade and subject, and see every school scored on the map, with a live top-list. I built it to support a real relocation decision.

PythonData vizNetlify

Shown here for Tromsø · live demo kept private

Enterprise AI · 2025–present

Talk to your OSDU data

Led the data & retrieval layer of an enterprise RAG platform giving natural-language access to large-scale subsurface data for a major energy operator — from a two-month proof of concept to enterprise-grade deployment, with traceability and document-level access control.

RAGOSDUMicrosoft FabricAzure OpenAI

Talk & publication · 2025

DigX 2025 · First Break (EAGE)

Presented “Secure, explainable answers inside enterprise workflows” at DigX 2025, with the work published in First Break (EAGE) — covering security, explainability and enterprise workflow integration.

SpeakingPublication

Science communication

Explaining hard things, simply

Public science lectures from my “Bunnyhoppor Science” series — taking complex topics to a broad audience.

Northern Lights Explained

Bunnyhoppor Science Lecture · YouTube

5G — Science Corner, Ep. 1

Bunnyhoppor Science · YouTube

Beyond the day job

Hearthstone World Champion

Before consulting, I spent five years as a professional esports competitor and founder of Peltzer Gaming AS — applying statistics, simulation and data-driven strategy to win at the highest level, while running the business side. I still stream occasionally.

2022

Individual World Champion

Team

World Champion & MVP

1000+

streams

Watch on Twitch Follow on X

About

One throughline, three chapters

I'm a data scientist who doesn't stop at the technical side. What colleagues tend to single out is that I'm as comfortable with the business question and the bigger picture as with the model itself — and I work to keep the two connected.

That instinct is trained. A PhD in computational chemistry (Oslo) and an MSc (Oxford), four peer-reviewed publications, years of reducing messy systems to something you can reason about. Then five years at the very top of competitive Hearthstone — World Champion in 2022 — which was data science in disguise: statistics and strategy under real pressure. Today I bring both to building enterprise AI for the energy sector at Cegal.