
Data Analyst with a strong quantitative background and hands-on experience delivering analytics and data solutions in regulated banking environments.
Currently working in financial crime analytics, where I handle large customer and transaction datasets under strict GDPR and data governance requirements. Used to collaborating with business stakeholders, challenging requirements. Regularly giving both technical and non-technical presentations to customers, non-technical stakeholders and management.
Strong SQL skills, solid statistical foundation, and a pragmatic approach to data usage.
AI Explore
AI-Driven AML PlatformAtlas
Large Financial Model- •Python, SQL
- •MLOps
- •Real-time & Batch Inference
- •Docker, Git
- •Databases (ClickHouse, Postgres)
- •Cloud & Private Cloud Environments
- •Algebra (Linear & Abstract)
- •Probability & Statistics
- •Graph Theory
- •Optimization
- •Topology & Topological Data Analysis
- •Deep Learning (PyTorch)
- •Self-Supervised Learning
- •Graph & Temporal Models
- •Representation Learning & Embeddings
- •Time Series Modeling
- •Unsupervised & Weakly Supervised Learning
- •Agentic Automation & Development
Data Scientist / ML Engineer
TietoEvryInternal LLM Service
Internal LLM PlatformUniversity of Bergen
Master´s Degree in Machine LearningFocus on topological methods in machine learning. Master’s thesis on "Vectorizing Distributed Homology with Deep Set of Set Networks". Coursework in data science, machine learning, mathematics and algorithms.
GPA: 3.71
University of Bergen
Bachelor’s Degree in Theoretical MathematicsFocus on graph theory and clustering. Bachelor’s thesis on minimum spanning trees in hierarchical cluster analysis. Coursework in linear algebra, discrete mathematics, probability, statistics, and algorithms.
Summer Intern (2 Summers)
Norwegian Defence Research EstablishmentStudent Teaching Assistant
University of BergenYoungAI
Board Member & Event ManagerCEDAS Hackaton Winner
CEDAS & Eviny