Marco Beuckelmann
Sales Engineer at Siemens
Hamburg, Germany
Summary
🤩
Rockstar🎓
Top SchoolMarco Beuckelmann is a seasoned Sales Engineer based in Hamburg with over 12 years of experience combining deep technical know-how and customer-facing solution delivery at Siemens. Trained as a Diplom-Ingenieur in Electrical and Electronics Engineering, he bridges hardware and software conversations to translate complex technical requirements into practical business outcomes. An active contributor to open-source tooling—most notably enhancing web scraping, NLP and ML capabilities in the Pattern library—he brings hands-on backend development experience and a pragmatic focus on robustness and Python 3 compatibility. Marco’s profile reflects a rare blend of long-term enterprise engagement and continued curiosity about web mining and machine intelligence, positioning him to guide technical buyers through next-generation digital initiatives.
12 years of coding experience
Diplom-Ingenieur, Electrical and Electronics Engineering, Diplom-Ingenieur, Electrical and Electronics Engineering at Fachhochschule Dortmund
Github Skills (6)
python10
webscraping10
natural-language-processing10
api-design9
machine-learning9
api9
Programming languages (3)
Github contributions (5)
clips/pattern
Nov 2013 - Aug 2017
Web mining module for Python, with tools for scraping, natural language processing, machine learning, network analysis and visualization.
Role in this project:
Back-end Developer
Back-end DeveloperContributions:415 commits, 17 PRs, 89 pushes in 3 years 9 months
Contributions summary:Marco contributed significantly to the pattern library, focusing on enhancing its web scraping, natural language processing, and machine learning capabilities, as indicated by the repository topics. The user primarily focused on making the library compatible with Python 3 by updating various import statements across different modules, especially within the web functionality. The user also added new web modules and improved code robustness by checking for potential errors, suggesting a focus on expanding and refining the library's core functionalities.
nlpweb-miningpythonminingorange
lltk/lltk
Nov 2013 - Sep 2014
The Language Learning Toolkit (LLTK) performs a variety of tasks useful for (human) language learning.
Contributions:183 commits in 9 months
nlplanguage-learningmachine-learninghuman-languagevariety
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