Independent Data Scientist / ML Engineer December 2024 – Present
Self-Employed Rostock, Germany
- Developed end-to-end ML pipelines from data preprocessing to model deployment, following MLOps best practices with MLflow for experiment tracking and model versioning.
- Built SkinSavant, an AI-powered diagnostic platform using Deep Learning with DenseNet169 achieving 90+ percent accuracy, demonstrating Proof-of-Value model development and validation.
- Integrated Generative AI including GPT, LangChain, and RAG systems for intelligent conversational interfaces,
showcasing modern AI approaches.
- Conducted exploratory data analysis and feature engineering on diverse datasets, translating business questions into data-driven solutions.
- Applied transfer learning and modern algorithms including EfficientNetB0 and MobileNetV2 for scalable,
production-ready solutions.
Data Scientist / Data Analyst July 2022 – November 2024
Digital Spine GmbH Rostock, Germany
- Developed and deployed ML models on Databricks with MLOps practices including MLflow and CI/CD, improving forecasting accuracy by 25 percent.
- Translated complex business requirements into clear, data-based questions and delivered measurable results for stakeholders.
- Built scalable data pipelines using Python and SQL, integrating multiple data sources into the analytics architecture.
- Collaborated in agile teams with Product, Engineering, and Operations, contributing to the Data Science community.
- Continuously optimized existing models and documented solutions following MLOps frameworks.
- Created dashboards in Power BI and Tableau, communicating insights to technical and non-technical stakeholders.
Data Analyst February 2019 – July 2022
CENTOGENE GmbH Rostock, Germany
- Applied ML classification algorithms on large-scale clinical datasets, improving anomaly detection accuracy by 25
percent.
- Identified new data sources and conducted exploratory analyses to uncover business insights.
- Developed SQL queries optimizing data extraction efficiency by 40 percent, enabling data-driven decision making.
- Partnered with scientists and engineers to develop data-driven solutions for clinical diagnostics.
Data Analyst Intern May 2018 – Feb 2019
Unicomp Mittweida, Germany
- Improved data retrieval times by 15%, as measured by average query runtime, by developing optimized
SQL queries for large customer and transactional datasets supporting marketing analytics initiatives
- Enhanced report clarity and stakeholder accessibility by 25%, as measured by user feedback scores,
by creating interactive dashboards in Tableau and Power BI that visualized customer acquisition and conversion metrics
