Andreas Klostermann
Gründer & Geschäftsführer at Trust Driven
Hanover, Lower Saxony, Germany
Summary
👤
Senior🎓
Top SchoolAndreas Klostermann is a founder and CEO with 14 years of experience helping firms in the DACH region become data-driven, efficient and trust-focused through ventures like Alpine Data Ventures, Trust Driven and CM Consulting. He blends commercial sales leadership and hands-on data product work—his open-source contributions include a practical interactive sampling widget for the well-known PyMC Bayesian library—bringing technical credibility to strategic projects. Andreas designs measurable, business-case-first analytics and automation, and builds frameworks that tie customer and employee trust to market performance. Known for marrying psychology, strategy and pragmatic implementation, he takes ownership of outcomes rather than delivering abstract reports. Based in Hanover, he pairs rigorous, university-linked methods with a practitioner’s appetite for clear stories, strong relationships and practical results.
14 years of coding experience
2 years of employment as a software developer
-, Mathematik, -, Mathematik at University of RegensburgMaster of Business Management, Business, Management, Marketing und verbundene unterstützende Dienste, Master of Business Management, Business, Management, Marketing und verbundene unterstützende Dienste at IHK Akademie Niederbayern/OberpfalzKaufmann für Büromanagement, Kaufmann für Büromanagement, Kaufmann für Büromanagement, Kaufmann für Büromanagement at Städtische Berufsschule 3 Regensburg
German, English
Github Skills (8)
mcmc10
ipython10
bayesian10
probabilistic-programming10
python10
bayesian-inference10
javascript8
widgets8
Programming languages (12)
Github contributions (5)
pymc-devs/pymc
Sep 2014 - Oct 2014
Bayesian Modeling and Probabilistic Programming in Python
Role in this project:
Back-end Developer
Back-end DeveloperContributions:5 commits, 2 comments in 29 days
Contributions summary:Andreas primarily contributed to the `pymc` library by implementing an interactive sampling widget for IPython notebooks. They developed a widget using IPython widgets that visualizes the sampling process with progress bars and stop functionality. The user also refactored and fixed a Python 3 syntax error. Moreover, the user addressed an ImportError issue when IPython isn't installed and renamed the `isample` function to `nbsample`.
pythonbayesian-inferencestatistical-inferencemachine-learningprobabilistic-programming
akloster/blender-asyncio
Mar 2015 - Dec 2022
Contributions:2 pushes, 2 branches, 4 comments in 7 years 10 months
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