Troels Lægsgaard
Machine Learning Engineer at MFT Energy
Aarhus, Central Denmark Region, Denmark
Summary
👤
Senior🎓
Top SchoolTroels Lægsgaard is a Machine Learning Engineer based in Aarhus with 9 years of experience applying data science, signal processing and statistical analysis across maritime, defense, banking and energy sectors. He has built production ML models at Maersk for ETA correction and fuel analytics, supported fraud and AML investigations in banking, and helped develop radar classification systems at TERMA. As a teacher he created and delivered applied data science courses in R and PySpark, reflecting a practical focus on deploying scalable workflows and upskilling teams. Currently at MFT Energy, he blends hands-on engineering with domain savvy to turn sensor and operational data into actionable models. Colleagues describe him playfully as “a wizard,” a nod to his knack for turning messy real-world data into robust solutions.
9 years of coding experience
7 years of employment as a software developer
Mathematics-Economics, Mathematical Investment, 11.16, Mathematics-Economics, Mathematical Investment, 11.16 at Aarhus Universitet
Danish, English
Github Skills (8)
pipeline5
pyspark3
python3
etl3
data-processing3
spark2
reinforcement-learning1
deep-reinforcement-learning1
Programming languages (3)
Github contributions (5)
laegsgaardTroels/chess
Jan 2020 - Aug 2024
Contributions:6 PRs, 57 pushes, 14 branches in 4 years 7 months
laegsgaardTroels/laegsgaardTroels.github.io
Nov 2018 - Nov 2024
Contributions:6 PRs, 213 pushes, 3 branches in 6 years 1 month
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