Ruan Gräbe
Senior Data Scientist
Munich, Bavaria, Germany
Summary
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Senior🎓
Top SchoolRuan Gräbe is a Senior Data Scientist based in Munich with four years of experience applying data analytics, machine learning and simulation to mobility and transportation problems. With an M.Eng in Industrial and Systems Engineering (with distinction) and academic research background, he has contributed to emissions modelling in MATSim and improved its WarmEmissionHandler logic as an open-source back-end developer. He combines hands-on ETL and Python skills with rigorous statistical analysis to turn sensor and human data into operational insights for transportation and research clients. At IABG and Ipsos Deutschland he translated complex vehicle-usage patterns into actionable models, while earlier teaching and supervising engineering students honed his ability to communicate technical concepts. Multilingual (Afrikaans native, fluent English and work-proficient German), he blends research-grade simulation expertise with practical deployment experience in industry settings.
4 years of coding experience
4 years of employment as a software developer
University of Pretoria
English, German, Afrikaans
Github Skills (10)
javas10
mat10
agent-based-modeling10
agent-based-simulation10
java10
transport9
transit9
public-transportation9
planning9
public-transport9
Programming languages (2)
Github contributions (5)
matsim-org/matsim-libs
Jun 2022 - Nov 2022
Multi-Agent Transport Simulation
Role in this project:
Back-end Developer
Back-end DeveloperContributions:4 reviews, 33 commits, 14 PRs in 5 months
Contributions summary:Ruan contributed to the `contribs/emissions` module, focusing on emissions calculation logic within the MATSim framework. Their work involved modifying the `WarmEmissionHandler` class, adding conditions for emission calculations based on vehicle events and travel times. The user extracted duplicated code into separate methods and made further refinements to the logic and data structures used in the emission calculation process. This included handling edge cases such as zero-length links and ensuring accurate emission calculations.
agent-basedtransportation-planningagentagent-based-modelmatsim
rgraebe/rgraebe
Jun 2022 - May 2024
Contributions:2 pushes, 1 branch in 2 years
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