08.01.2026 aktualisiert
SK
100 % verfügbar
Data Engineer and Transportation Systems Specialist
Deutschland
Nur Remote
Master of Science in Transportation SystemsSkills
GeoinformationssystemData AnalysisArcmapInformation EngineeringETLDatenvisualisierungForecastingR (Programmiersprache)IBM SPSSSystemanalysePythonMATLABMachine LearningNumPyVisualisierung
Data Engineering
Expertise in data pipeline design, ETL frameworks, and data visualization for large-scale datasets.
Machine Learning
Application of ML techniques for travel mode prediction, vehicle routing optimization, and battery health forecasting.
Transportation Systems Analysis
Proficiency in travel demand modeling, transportation planning, and micro-scale simulations of transportation environments.
Programming Languages
Proficiency in Python, SQL, MATLAB, DAX, and VBA for data analysis and software development.
Data Analysis Tools
Skilled use of R, STATA, SPSS, and SAP for statistical analysis and data manipulation.
Spatial Data Handling
Expertise in QGIS, ArcMap, Geopandas, PTV Visum, and MATSim for transportation analytics and geospatial data processing.
Machine Learning & Visualization
Proficient with NumPy, Pandas, PyTorch, Apache Spark, Scikit-Learn, Keras, TensorFlow, Matplotlib, and Seaborn for advanced data processing and visualization.
Expertise in data pipeline design, ETL frameworks, and data visualization for large-scale datasets.
Machine Learning
Application of ML techniques for travel mode prediction, vehicle routing optimization, and battery health forecasting.
Transportation Systems Analysis
Proficiency in travel demand modeling, transportation planning, and micro-scale simulations of transportation environments.
Programming Languages
Proficiency in Python, SQL, MATLAB, DAX, and VBA for data analysis and software development.
Data Analysis Tools
Skilled use of R, STATA, SPSS, and SAP for statistical analysis and data manipulation.
Spatial Data Handling
Expertise in QGIS, ArcMap, Geopandas, PTV Visum, and MATSim for transportation analytics and geospatial data processing.
Machine Learning & Visualization
Proficient with NumPy, Pandas, PyTorch, Apache Spark, Scikit-Learn, Keras, TensorFlow, Matplotlib, and Seaborn for advanced data processing and visualization.
Erfahrung
Berufserfahrung0 - 5 Jahre
Freelancer seit2024
Sprachen
Englischverhandlungssicher
Projekthistorie
Developing a nationwide transport model, designing data pipelines, and implementing ETL frameworks for diverse data sources.
Developed large-scale geospatial database, conducted market analysis, and created automated business intelligence dashboards.
Implemented planning process for 10-kilometer underground tunnel, oversaw construction, and managed project documentation.