02.11.2026 aktualisiert
ME
100 % verfügbar
Data Analyst | Python Automation | Business Reporting
Oldenburg in Oldenburg, Deutschland
Weltweit
Master of Science – Environmental ModellingSkills
Data AnalysisBusiness IntelligenceBusiness Intelligence DevelopmentBusiness Process ManagementData IntegrationPythonMicrosoft Business IntelligenceMicrosoft Power BIWorkflowsBusiness Intelligence Development StudioJuliaSQL Server Business IntelligencepandasDaten-Pipeline
Python Data Workflows
Practical experience in Python with libraries such as NumPy, pandas, Dash and PyTorch for data analysis, automation, pipeline development and front- and back-end dashboard components.
SQL and Data Integration
Hands-on experience with analytical SQL, creation of SQL views, data warehouse support and integration jobs using Talend Open Studio.
Business Reporting with Power BI
Production of Power BI reports and analyses as part of a data-warehouse pilot project, combined with business-process documentation in BPMN.
Analysis and Model Evaluation
Simulation experiments and parameter comparisons; coursework in regression, trend and residual analysis, auto- and cross-correlation, and validation of regression and classification models.
AI-Assisted Development
Daily use of Codex for implementation, debugging and code revision, with experience in automated output checks and numerical validators.
Julia Programming
Implementation of a published cooperation model in Julia, examining how parameters and starting conditions affect network structure and outcomes through repeated simulation runs.
Data and Working Environment Tools
Experience with CSV, JSON and image-annotation data formats; version control with Git; Linux/Bash and Docker environments; Jira and Confluence for project coordination.
Computer Vision and Image Annotation
Development of a Python pipeline to reuse image annotations across drone flight altitudes, mapping tile-local labels into orthomosaic coordinates and generating masks and overlays.
Business Process Management
Specialisation in business process management with coursework in multidimensional data models, business intelligence and process analysis; documentation of target processes in BPMN.
Practical experience in Python with libraries such as NumPy, pandas, Dash and PyTorch for data analysis, automation, pipeline development and front- and back-end dashboard components.
SQL and Data Integration
Hands-on experience with analytical SQL, creation of SQL views, data warehouse support and integration jobs using Talend Open Studio.
Business Reporting with Power BI
Production of Power BI reports and analyses as part of a data-warehouse pilot project, combined with business-process documentation in BPMN.
Analysis and Model Evaluation
Simulation experiments and parameter comparisons; coursework in regression, trend and residual analysis, auto- and cross-correlation, and validation of regression and classification models.
AI-Assisted Development
Daily use of Codex for implementation, debugging and code revision, with experience in automated output checks and numerical validators.
Julia Programming
Implementation of a published cooperation model in Julia, examining how parameters and starting conditions affect network structure and outcomes through repeated simulation runs.
Data and Working Environment Tools
Experience with CSV, JSON and image-annotation data formats; version control with Git; Linux/Bash and Docker environments; Jira and Confluence for project coordination.
Computer Vision and Image Annotation
Development of a Python pipeline to reuse image annotations across drone flight altitudes, mapping tile-local labels into orthomosaic coordinates and generating masks and overlays.
Business Process Management
Specialisation in business process management with coursework in multidimensional data models, business intelligence and process analysis; documentation of target processes in BPMN.
Sprachen
DeutschMutterspracheEnglischverhandlungssicherRussischverhandlungssicher
Projekthistorie
Analysed more than 100,000 forecast-target pairs with Python/pandas. Checked time alignment, missing data and units; examined relationships between forecast weather and measured output. Identified which additional observations were needed to distinguish forecast errors from operational effects.
Implemented a published cooperation model in Julia and examined how parameters and starting conditions affected network structure and outcomes through repeated simulation runs. Published a versioned dataset of 4,020 runs and 19.9 million final pair-state rows, with a data dictionary, provenance and documented numerical quality checks.
Developed a Python pipeline to reuse image annotations across drone flight altitudes. Implemented Python/Dash front- and back-end components for a team dashboard with camera livestream and automated image analysis. Supported evaluation and visualisation of deep-learning results.