Markus Schmaus
Senior Data Scientist
Greater Munich Metropolitan Area Germany
Summary
🤩
Rockstar🎓
Top SchoolMarkus Schmaus is a Senior Data Scientist with over a decade of experience blending rigorous mathematics and business insight to drive forecasting and planning at scale, currently leading global bookings and revenue forecasting for Airbnb’s FP&A team. His background at McKinsey sharpened his quantitative toolkit across statistics, optimization, and complex modeling for diverse industries, enabling him to translate strategic questions into actionable analytics. He pairs advanced statistical models with deep domain knowledge to maintain highly accurate forecasts in fast-growing, high-variance environments. An active contributor to Apache Airflow, Markus has improved core time-handling utilities, reflecting a practical interest in robust, production-grade workflow tooling. Based in the Greater Munich area, he brings a rare mix of academic math training and hands-on engineering to bridge the gap between business and analytics.
10 years of coding experience
Ludwig Maximilian University of MunichGymnasium EhingenMathematics, Mathematics at University of Alabama at Birmingham
German, English, French, Chinese
Github Skills (8)
apache-airflow10
workflow-engine10
orchestration10
orchestra10
python10
data-engineering9
algorithms8
algorithm8
Programming languages (4)
Github contributions (5)
apache/airflow
Sep 2015 - Feb 2016
Apache Airflow - A platform to programmatically author, schedule, and monitor workflows
Role in this project:
Back-end Developer
Back-end DeveloperContributions:4 PRs, 1 comment in 5 months
Contributions summary:Markus primarily focused on improvements to the `airflow/utils.py` and `airflow/www/app.py` files. Their contributions involved correcting character encoding, modifying the `round_time` function to accommodate relative deltas, and adding comments. They also updated a template file with a fix that was later reverted. This indicates a focus on core functionality and potentially a role in improving the performance and accuracy of time-based calculations within Airflow.
monitorpythonschedulerapacheprogrammatically
markusschmaus/lean4
May 2024 - Jun 2024
Lean 4 programming language and theorem prover
Contributions:25 pushes, 8 branches in 1 month
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