Marcelo Beckmann

Vice President at Deutsche Bank

Stony Stratford, England, United Kingdom
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Summary

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Senior
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Marcelo Beckmann is a Vice President and Lead Data Scientist based in Dublin with 11+ years applying machine learning, NLP and generative AI to finance and fintech at Deutsche Bank. He holds advanced degrees from Universidade Federal do Rio de Janeiro, including doctoral research in predictive analytics for finance, blending rigorous academic research with production-grade quantitative development. His career traces back through senior software and systems roles—spanning quant development, system architecture and CTO-level responsibilities—giving him a rare mix of research depth and hands-on engineering. Known as a data science researcher on GitHub, he brings a pragmatic focus on turning complex models into deployable, risk-aware solutions for trading and financial services. An early educator and curriculum designer in Java and UML, he still leverages that teaching instinct to mentor teams and translate advanced techniques into usable business outcomes.
code11 years of coding experience
job9 years of employment as a software developer
bookDoctor in Science Predictive Analytics applied to finance, Doctor in Science Predictive Analytics applied to finance at Universidade Federal do Rio de Janeiro
bookEstácio de Sá University
languagesEnglish, Portuguese, Spanish
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Stackoverflow

Stats
301reputation
21kreached
2answers
0questions
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Github Skills (31)

python10
data-science10
statistics10
machine-learning10
scikit-learn10
data-analysis10
shapley8
shap8
gradient-boosting7
deep-learning7
scikit7
html6
hive6
categorical-data6
hdfs6

Programming languages (3)

JavaScriptJupyter NotebookPython

Github contributions (5)

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marcelobeckmann/knnund

Oct 2017 - May 2021

Contributions:11 commits, 10 pushes, 1 branch in 3 years 8 months
marcelobeckmann/scikit-learn

Aug 2017 - Nov 2019

scikit-learn: machine learning in Python
Contributions:210 pushes, 1 branch in 2 years 3 months
pythondata-sciencelearn-machine-learningneural-networksmachine-learning
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