Data Visualization Experts in Cologne

• Integration of medical modalities (including ultrasound) into the existing IT infrastructure (DICOM, HL7) – put into operation within the planned timeframe.
• Administration and optimization of PACS systems for efficient archiving and distribution of radiology image data across multiple locations.
• Ensuring consistent data quality and seamless interoperability in data exchange between HIS, RIS, and PACS.
• Close collaboration with medical staff to analyze and digitally optimize clinical workflows.
• Requirements management and test coordination when implementing clinical requirements in complex IT structures.

Project: Digitalization of Warehouse Processes | Building a Data Analytics Platform.

• Built a web-based workforce allocation system that digitized daily shift planning by matching worker expertise to operational zones, replacing manual coordination with a structured workflow adopted across the site, saving supervisors time on daily planning.
• Developed a real-time operational visibility dashboard giving supervisors a live view of task throughput and outstanding workload across warehouse zones throughout the day, helping reduce overtime and idle labour costs.
• Developed a slotting optimization solution to improve warehouse picking efficiency and reduce picking time per order, working directly with operations teams from concept through production deployment.

Technologies used: Python, Django, PostgreSQL, Pandas, NumPy, HTML, Java, JavaScript, Docker, Kubernetes, AWS, Power BI, GitHub Actions CI/CD, GitOps, Claude, OpenAI

• Reorganizing and structuring business units in line with agile frameworks
• Scaling agile ways of working across multiple teams and departments
• Advising and supporting teams in forming squads and introducing new meeting structures
• Introducing agile portfolio management to align strategic initiatives
• Implementing metrics and KPIs to measure agile maturity and success
• Assisting in integrating agile methods into existing company processes

trategic Requirements Management: Steered user-centric product development for highly complex analytical platforms in close coordination with Product Owners.

Team Enablement: Provided technical supervision and UX alignment across multiple development teams to ensure consistent implementation.

Translation of Requirements: Translated complex business logic into intuitive, user-centric concepts and workflows along the entire customer journey.

End-to-End Design: Led ideation, conceptualization, and UI design for UX projects, accounting for cross-functional requirements.

Quality Assurance: Ensured strict adherence to and verification of usability standards and web accessibility (WCAG) within a B2B context.

Stakeholder Management: Confidently presented and defended design solutions to senior management and specialized departments.

Cross-functional Collaboration: Acted as the primary interface between Product, Engineering, and Business to resolve conflicting objectives within the design process.

• Web development with Blazor
• Two-factor authentication for Blazor applications
• Uploading and downloading files
• Bug fixes for existing applications
• Programming interfaces
• Integration of third-party tools and technologies
• Creation of developer tests (unit tests)

• AWS
• Genedata Profiler
• Data Lake
• APIs
• Rstudio
• GitLab
• Python
• R
• Data acquisition, integration, and simulation
• Multiplex immunofluorescence
• Copy-number variation calling
• HLA typing and loss-of-heterozygosity analysis
• RNA expression analysis

• Conducted GCP/GLP audits, compiled quality metrics, supported inspection and documentation for regulatory submissions
• Collaborated with clinical, technical, regulatory, study execution, and management teams
• Reviewed systems and processes in preparation for EU and global regulatory filings
• Edited quality and regulatory documents for internal and external review

• Introduction of a new Information Security Management System (ISMS) according to ISO/IEC 27001.
• Implementation of the cybersecurity guideline RL CySec-Rail for cross-border rail networks.

• Implementation of custom reporting solutions for financial KPIs aligned with specific business requirements

• Development of a machine learning application that achieved a 250% performance improvement

• Data Architect "Production-Oriented Quality Assurance" (03/2024–09/2024):

• Design and implementation of an analytics platform to detect quality deviations in manufacturing

• Build of a scalable data lakehouse architecture on Databricks in combination with SAP ERP data via SAP Datasphere

• Close collaboration with the SAP team to harmonize bill of materials and order data

• Visualization of KPIs to support shopfloor management

• Lead Data Engineer "Sales Performance Monitoring" (08/2023–12/2023):

• Design and implementation of a Databricks-based platform for analyzing sales figures and promotion effects

• Integration of SAP SD data via SAP BW/4HANA

• Use of Azure DevOps to orchestrate ETL jobs and deploy workflows

• Technical Project Lead "Cloud Migration & Data Strategy" (02/2023–05/2023):

• Migration of a heterogeneous data warehouse stack to a modern cloud architecture on Azure with Databricks as the central processing platform

• Development of a governance-compliant data architecture to integrate SAP financial data and non-SAP sources

Technologies: Databricks, Delta Lake, Python, SAP Datasphere, Azure DevOps, PowerBI, SQL

• Acted as the primary bridge between Legal, Engineering, and Business units to ensure zero compliance violations while maintaining product velocity.

• Led the development of a GDPR-compliant AI aggregator platform, managing a roadmap that balances legal constraints with aggressive feature delivery.

• Scaled the engineering team from 4 to 9 developers, establishing hiring protocols and technical onboarding processes to support rapid product iteration.

• Boosted the development process by introducing structured sprint cycles and backlog refinement, resulting in a 20% reduction in feature delivery time.

• Architected and prototyped agentic AI workflows with n8n and RAG pipelines on Langchain.

• Technical project management, requirements management, and design to guide the data team in developing a predictive maintenance model for DB InfraGO's maintenance planning.
• Statistical modeling and analysis programming with R Studio for fault analysis in preventive maintenance: multivariate modeling using quasi-Poisson, negative binomial, lasso, offset, splines, RandomForest.
• Implementation of various R Shiny dashboards.
• Sparring partner and requirements management for data engineering, data modeling, and ETL pipeline in Tableau Prep.

• Generated and analysed large-scale RNA-seq data (>800 samples) using R, Python, and high-performance computing (HPC/Linux) systems.
• Integrated multi-omics data (genomic, transcriptomic, and phenotypic); applied Bayesian approaches and machine learning to study gene expression variation and inheritance of complex traits.
• Mentored B.Sc. and M.Sc. students in experimental design, programming in R/Python/Bash, biostatistics, data visualisation and scientific presentations.

• Responsible for the entire process chain of land acquisition (cell tower construction) as a contribution to the energy transition.
• Ensuring the legally required installation of about 40 cell towers across Lower Saxony to guarantee communication in case of network failure.
• Verifying and acquiring land after coordinates were determined by the 450 Connect federal headquarters.
• Clarifying approval procedures and environmental protection issues.
• Stakeholder management and negotiations with property owners and municipalities to conclude 30-year purchase or lease agreements.
• Construction implementation of the 450 MHz frequency masts.
• All around 40 sites were acquired successfully. Environmental protection and regulatory obstacles were cleared.
• The lease and purchase agreements with landlords and municipalities were negotiated and finalized within the set guidelines. This ensured a significant contribution to securing energy in EWE-NETZ's area of responsibility.