Christian Luhmann
Advisory Board Member OMR Reviews at 8returns
Berlin Metropolitan Area Germany
Summary
🤩
Rockstar🎓
Top SchoolChristian Luhmann is a seasoned startup operator and advisor with an entrepreneurial track record dating back to founding his first company in 1998 and eight years of focused executive experience across COO, CMO and CEO roles. He has scaled teams up to 70 people, led product and category strategy at fast-growing e-commerce and marketplace businesses, and now serves on advisory boards including OMR Reviews and 8returns. Customer-centric, data-driven and agile in mindset, he turns strategic discussions into actionable "so what" outcomes and favors the best-argument-wins approach. An occasional angel investor and coach, he blends hands-on interim leadership with long-term governance via his advisory practice Luhmann Beteiligungen UG. Less obvious: he contributes to open-source Bayesian tooling (pymc), applying computational models to sharpen business questions and improve decision making. Based in Berlin, he thrives at the intersection of growth strategy, analytics-driven product development and team-building.
8 years of coding experience
9 years of employment as a software developer
Freie Universität BerlinUniversität Passau
Github Skills (11)
statistics10
arviz10
mcmc10
pymc10
bayesian10
probabilistic-programming10
python10
bayesian-inference10
statistic10
jupyter-notebook9
variational-inference7
Programming languages (6)
Github contributions (5)
pymc-devs/pymc
Aug 2020 - Aug 2022
Bayesian Modeling and Probabilistic Programming in Python
Role in this project:
Data Scientist
Data ScientistContributions:18 reviews, 6 commits, 9 PRs in 1 year 11 months
Contributions summary:Christian primarily contributed to the `pymc` repository by updating and standardizing notebooks, specifically focusing on Bayesian modeling techniques within the context of hierarchical partial pooling. This involved modifying code related to model definitions, including the implementation of Bayesian inference using `PyMC3`, as well as integrating plotting using `Arviz`. The user also addressed inconsistencies in the code base by making signatures consistent and updating documentation and fixed several bugs.
pythonbayesian-inferencestatistical-inferencemachine-learningprobabilistic-programming
cluhmann/pymc-examples
May 2022 - Dec 2023
Examples of PyMC models, including a library of Jupyter notebooks.
Contributions:20 pushes, 9 branches in 1 year 6 months
pythonpymcjupyter-notebooknotebooksjupyter
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.