Data Scientist and Architect
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- Chemnitz
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- de | en
- 19.09.2026
- Contract ready
Kurzvorstellung
Auszug Referenzen (1)
"Sehr angenehme Zusammenarbeit. C. hat unsere Anforderungen an das Projekt gut verstanden & stand uns mit Ratschlägen zur Umsetzung zur Seite"
6/2023 – 6/2024
TätigkeitsbeschreibungAutomation and optimization of MS PowerQuery-based workflows to structure and prepare multi-channel marketing campaigns (Google, Instagram, Youtube, etc.).
Eingesetzte QualifikationenPower Bi, Google Cloud, Microsoft Excel
Geschäftsdaten
Qualifikationen
Projekt‐ & Berufserfahrung
4/2026 – 5/2026
TätigkeitsbeschreibungThe project addressed a practical integration gap in an existing timber processing workflow: part labels were required for reliable identification on site, but the processing machine's original printer setup could no longer be used and compatible replacements were unavailable. I implemented a lightweight Windows automation service that monitors the processing machine's output files, parses the relevant metadata, and maps the extracted values to ZPL output for a generic Zebra label printer. The solution was packaged as a standalone executable and configured for unattended startup via Windows Task Scheduler.
Eingesetzte QualifikationenPython, Windows Powershell
12/2025 – offen
TätigkeitsbeschreibungIn a federal forest monitoring program, I support data quality and operational workflows for meteorological and soil sensor data from distributed field plots. The work currently focuses on three areas: automated quality control and anomaly detection scripts, a Shiny-based review application for segment-level data correction, and a field-oriented data model for mobile monitoring with QGIS/QField. The goal is to make quality assessment more systematic, reduce manual rework, and establish a stable data foundation from field collection to reporting.
Eingesetzte QualifikationenBerater Umwelt, Gesundheit und Sicherheit, Datenanalyse, Datenmodelierung, Postgresql, R (Programmiersprache), SQL
6/2024 – 9/2025
TätigkeitsbeschreibungI built a scalable biodiversity analytics stack at iDiv, with a primary focus on operationalizing the symobio R package as the data-engineering backbone. Using DuckDB, Arrow/Parquet, and modular targets workflows, the platform standardized heterogeneous occurrence and environmental data into reproducible, analysis-ready outputs while enabling local processing of tens of millions of records. On top of this foundation, I implemented and compared species distribution modeling workflows, including multi-species deep learning approaches.
Eingesetzte QualifikationenPredictive Analytics, Datenbankentwicklung, Datenmodelierung, Neuronale Netze, Python, R (Programmiersprache), SQL
5/2024 – offen
TätigkeitsbeschreibungAt KWS Saat, I have been building and extending a Python-based discovery platform for plant breeding research. The work spans backend API engineering, interactive analytics application development, and AI-assisted research workflows, with responsibilities ranging from schema design and validation to CI/CD and deployment hardening. The resulting platform helps researchers explore complex biological relationships and access advanced analysis tools through a practical, user-facing interface.
Eingesetzte QualifikationenLangchain, Amazon Web Services (AWS), API-Entwickler, Datenbank-Analytiker, Docker, Python, Web Entwicklung
6/2023 – 6/2024
TätigkeitsbeschreibungAutomation and optimization of MS PowerQuery-based workflows to structure and prepare multi-channel marketing campaigns (Google, Instagram, Youtube, etc.).
Eingesetzte QualifikationenPower Bi, Google Cloud, Microsoft Excel
8/2022 – 2/2024
TätigkeitsbeschreibungI contributed to modernizing the reporting stack behind key ECB economic publications, with a primary focus on building and maintaining an R package ecosystem for dynamic report generation. The packages enabled consistent, parameterized production of publication-ready outputs across formats and teams, forming the technical backbone of official ECB reporting workflows. Shiny components and enterprise integrations complemented this package core by linking report production to source systems and workflow orchestration.
Eingesetzte QualifikationenAgile Methodologie, Dokumentenmanagement, Git, Jira, Python, R (Programmiersprache), SQL
11/2021 – 6/2022
TätigkeitsbeschreibungI developed a web application for vegetation data standardization and exchange at KIT. The app was built as a golem-based Shiny package and combined a guided user interface with XML validation, schema-aware conversion logic, and interactive file handling. The app enabled researchers to standardize, validate, and exchange vegetation data in accordance with the Veg-X XML standard, facilitating collaboration across research teams.
Eingesetzte QualifikationenDocker, R (Programmiersprache), Server Administration, Web Entwicklung, XML
Ausbildung
Georg-August University of Göttingen
Göttingen
Georg-August University of Göttingen
Göttingen
HTW Dresden
Dresden
Über mich
Professional Skills
Analytical thinking
Independent problem solving
Creativity
Effective communication
Scientific expertise (biodiversity & climate)
Programming
Python, R, SQL, JavaScript, M (Power Query language)
HTML, CSS, XML
Package development (Python & R)
API design (FastAPI, Flask)
ETL / ELT pipelines
Geospatial processing (GIS, terra, sf, raster)
Scripting & workflow automation
Machine Learning
Classification & regression: linear models, tree-based methods, neural networks
Hyperparameter tuning, cross-validation, model evaluation
Bayesian modeling
Dimensionality reduction, Clustering
Technologies: XGBoost, scikit-learn, caret, PyTorch, NumPy, dplyr, pandas, JAGS, Stan
Databases
Data modelling, schema design, data normalization
Query design and optimization
OLTP & OLAP systems
Technologies: MySQL, PostgreSQL, DuckDB, OracleDB, Neo4j
Visualization & Reporting
Interactive reports
Dashboards, Graph Visualization
Automated documentation
Technologies: R Shiny, Plotly Dash, quarto, markdown, plotly, ggplot
Development & Orchestration
Version control: Git, GitHub, GitLab
Cloud: AWS, GCP
Containers & environments: Docker, pip, conda, venv, renv
IDEs & notebooks: VS Code, RStudio, Jupyter, Positron
Workflow automation: make, targets, Camunda
OS & scripting: Linux, Bash, Windows
Agile tools: Jira, Confluence, Slack, Teams
Persönliche Daten
- Deutsch (Muttersprache)
- Englisch (Fließend)
- Europäische Union
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