Data Visualization Experts in Cologne

• Managed end-to-end data workflows for LCA and carbon footprint assessments, including data collection, validation, structuring, and LCI modeling for metal alloys, ensuring high data quality and traceability.
• Developed a basic Excel automation tool to simplify carbon footprint calculations of metal alloys, replacing repetitive modelling in the software that previously took several hours.
• Communicated environmental impact results through quantitative analysis, visualizations and reports to support the broader project strategy.
• Performed environmental hotspot and scenario analysis to identify key impact drivers and assess opportunities for emissions reduction.

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

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.

PLANT-MY-TREE®-per-order

The application enables Shopify merchants to automatically place tree-planting orders for every incoming order. By integrating ecological contributions directly into the purchase process, the manual effort for tracking and billing reforestation initiatives is eliminated. The system increases transparency for end customers through real-time visualizations of the ecological impact directly in the storefront. The architecture is based on a modular monolith with Spring Boot in the backend and an integrated React app inside the Shopify admin area. The solution uses webhooks to capture order data in an event-driven way and integrates the weclapp ERP system for automated monthly invoicing. An app proxy mechanism provides dynamic statistics such as CO2 compensation and planted trees without any performance loss for the merchant shop.

Tasks:

• Design of the modular software architecture based on Spring Modulith to ensure high maintainability
• Development of the event-driven business logic for evaluating Shopify orders via webhooks
• Implementation of automated invoicing by connecting the weclapp REST API
• Building the frontend using React Router and Shopify App Bridge for native integration
• Design of the database model and implementation of the persistence layer with JPA/Hibernate and Prisma
• Integration of internationalization processes for global use in the frontend and email communication
• Automation of deployment processes using Docker and GitLab CI/CD

Project skills: Java 25, Spring Boot, Spring Security, Spring Modulith, Hibernate, JPA, REST API, PostgreSQL, Maven, Liquibase, React, TypeScript, React Router, Vite, Node.js, Prisma, Zod, Docker, Docker Compose, GitLab CI/CD, Shopify CLI, Shopify App Bridge, Polaris, weclapp, i18next, Lombok, Vitest

• 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.

Focus:

Consulting in reporting and project management for Power BI

Goal:

Creation of IT application dashboards for business areas

Activities:

• Technical consulting and support in managing and coordinating an existing reporting setup
• Structured collection, analysis, and preparation of business reporting requirements
• Technical coordination with defined internal contacts
• Design and optimization of Power BI reports to improve data analysis
• Development of concepts and recommendations for the further development of an efficient and transparent reporting system
• Support in the user-friendly visualization of relevant company KPIs as a basis for decision-making

Tools/Skills: MS-PowerBI, DAX, MS-Office 365, PowerQuery M, BCS

• Coordinated feedback and milestones with international co-authors to streamline publication
• Directed data curation and final analysis using Python and Matlab
• Accelerated the final publication timeline by efficiently managing figure preparation and data traceability

• 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

• 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.

• Extraction and transformation of relevant data from the SAP system developed for the bank and consolidation into the existing reporting environment
• Integration of the data into the existing BI model (extending the star schema to a galaxy schema) for generating the funding committee report and the business development report
• Ensuring data quality
• Knowledge transfer to department staff (SAP, SQL database, Power Pivot, DAX)