Filippo Scopel
Data Science
Berlin, Germany
Summary
🤩
Rockstar🎓
Top SchoolFilippo Scopel is a Berlin-based data scientist and ML engineer with nine years’ experience building production-grade AI systems across autonomous driving, high-frequency trading, predictive maintenance, and enterprise analytics. He has progressed from applied machine learning roles at KONUX and Merantix—where he built an HFT engine and an automated semantic annotation pipeline for autonomous vehicle data—to senior consulting and project leadership positions at McKinsey/QuantumBlack and QuantCo. Now at juna.ai, he focuses on turning complex data pipelines and evaluation frameworks into scalable, queryable products that bridge research and business impact. His background in banking and finance (MA, University of St. Gallen) and hands-on work on noisy-sensor sequence labeling give him a pragmatic edge in high-stakes, data-intense domains.
9 years of coding experience
8 years of employment as a software developer
Master of Arts - MA Banking and Finance (MBF), Master of Arts - MA Banking and Finance (MBF) at University of St.GallenSingapore Management UniversityTechnology and Management, Technology and Management at Technical University of MunichCity University of Hong Kong
German, Italian, English, Russian
Github Skills (23)
google-cloud-platform9
convolutional-neural-networks9
google-cloud-build9
docker8
keras8
google-cloud8
visualizer8
gcp7
google7
visualization6
tensorflow5
machine-learning5
python5
bitmex4
coverage4
Programming languages (4)
Github contributions (4)
merantix/picasso
May 2017 - Jul 2017
:art: A CNN visualizer
Contributions:3 pushes, 1 branch, 3 comments in 2 months
pythonartvisualizerdeep-learningmachine-learning
GoogleCloudPlatform/cloud-builders
Nov 2018 - Feb 2020
Builder images and examples commonly used for Google Cloud Build
Contributions:2 comments, 3 issues in 1 year 3 months
cloud-buildgcpgoogle-cloud-buildgooglecommonly
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