Karl Haavel
Senior Data Scientist
Tallinn Metropolitan Area Estonia
Summary
👤
Senior🎓
Top SchoolKarl Haavel is a Senior Data Scientist based in Tallinn with a decade of experience building production ML systems for forecasting, risk, and deep learning across energy and trading domains. He blends deep academic training—a progressing Doctor of Science in Machine Learning and a MSc (cum laude) in Data Science from the University of Tartu—with hands-on roles at Renewcast, Proekspert, SOCAR Trading and Eesti Energia to turn market fundamentals into robust statistical and operational models. His background in economics and frontline trading operations gives him an uncommon knack for translating noisy market signals into actionable, production-ready models. Known for shipping forecasting and risk pipelines, he often bridges research rigor and pragmatic engineering to deploy models at scale.
10 years of coding experience
3 years of employment as a software developer
Gustav Adolfi GümnaasiumDoctor of Science, Machine Learning, Doctor of Science, Machine Learning at University of Tartu
English, Swedish, Estonian, Russian
Github Skills (12)
matching6
dtw5
pattern5
pattern-matching5
trading4
spark3
kudu3
data-science2
data-pipelines1
data-pipeline1
apache-flink1
data-engineering1
Programming languages (2)
Github contributions (5)
ka5par/dtw
Dec 2020 - Jan 2021
Using DTW with K*NN for pattern matching trading algorithm.
Contributions:1 release, 55 commits, 2 PRs in 1 month
dtwmatchingtrading-algorithmtradingtrading-strategies
ka5par/ML_ShipDetection
Nov 2020 - Mar 2021
Contributions:34 commits, 3 pushes in 3 months
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