Endre Moen - Data Scientist

Endre Moen

Data Scientist

Bergen, Vestland, Norway

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Summary

👤

Senior

🎓

Top School

Endre Moen is a data scientist and senior Java engineer based in Bergen with over a decade of professional experience and a 20+ year background in scalable software development. He blends cloud-native streaming and integration expertise (Kafka, AWS, Spring, Reactor) with applied machine learning for time series and finance, having implemented covariance denoising and portfolio construction algorithms. At IMR he led and architected production mapping and marine data platforms and published practical deep-learning work on aging fish otoliths and salmon scales, demonstrating domain-driven ML that matched expert accuracy. Currently at BKK he focuses on big-data processing and Azure AI tooling while maintaining hands-on engineering muscle from building caches, Kafka pipelines and geospatial web clients. His work bridges research and production: he contributes to open-source mapping (OpenLayers) and reproducible ML codebases that emphasize data quality and model interpretability.

13 years of coding experience

2 years of employment as a software developer

MSc Computer Science, MSc Computer Science at University of Oxford

Master of Science - MS Mathematical Statistics and Probability, Master of Science - MS Mathematical Statistics and Probability at University of Bergen (UiB)

BSc (Hons) Computer Science, BSc (Hons) Computer Science at Teesside University

Github Skills (16)

scikit10

data-analysis10

scikit-learn10

finance10

pandas10

machine-learning10

javascript10

kmeans10

statistical-models10

front-end-development10

python10

clustering10

modeling10

numpy10

openlayers10

Programming languages (5)

JavaC++JavaScriptJupyter NotebookPython

Github contributions (5)

emoen/Machine-Learning-for-Asset-Managers

Jun 2020 - Sep 2022

Implementation of code snippets, exercises and application to live data from Machine Learning for Asset Managers (Elements in Quantitative Finance) written by Prof. Marcos López de Prado.

Role in this project:

Data Scientist

Contributions:299 commits, 5 PRs, 284 pushes in 2 years 2 months

Contributions summary:Endre primarily focused on implementing and analyzing code related to machine learning and statistical methods for financial applications, specifically in the context of portfolio construction and risk management. Their contributions included implementing algorithms for clustering, variance calculations, and the application of Marcenko-Pastur theory. Furthermore, the user worked on functions to denoise covariance matrices and construct portfolios optimized for minimum variance, demonstrating expertise in applying machine learning techniques to financial data analysis.

pythonmanagersdata-scienceelementsmachine-learning

openlayers/ol2

Mar 2014 - Apr 2014

OpenLayers v2 - deprecated!

Role in this project:

Front-end Developer

Contributions:5 commits, 5 comments in 14 days

Contributions summary:Endre primarily focused on modifying and testing the `OpenLayers.Control.SelectFeature` component, likely to fix an issue. Their contributions involved adding, reverting, and re-adding a custom `addLayer` function, and also updating the tests. This suggests an attempt to improve how layers are handled and selected within the control. This involved modifying both JavaScript code and associated HTML test files.

javascriptopenlayers

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