Data Visualization Experts in Dusseldorf

Project scope: Supported the establishment, scaling and continuous improvement of project management and support processes by modernizing governance, processes, documentation, deliverables tracking, training content and tool-supported ways of working across a complex energy project environment.

Key contributions

• Supported the build-up and maturation of the PMO department, including governance structures, operational frameworks, project management processes, templates and deliverables tracking mechanisms.
• Conducted As-Is analysis of existing processes and their documentation, including process inventory, interface mapping, problem identification and creation of visualizations and white papers to improve shared understanding.
• Reviewed and improved project management documentation, templates and work instructions, including support for a project document master list to strengthen standardization and control.
• Designed and supported rollout of a lessons learned process and related system/application, including pilot preparation, coordination and implementation support.
• Mapped and supported implementation of a new resource management process connected to the rollout of a resource planning tool.
• Led and supported adoption of agile ways of working and Atlassian tools, including Jira and Confluence team boards, plans/roadmaps, dashboards, sprint planning and retrospectives.
• Acted as key user for continuous usage improvements in PMO tools and collaboration practices.
• Developed training curricula, instructional videos, supporting materials and PMO Open Doors sessions to improve capability transfer and provide a recurring forum for updates and information sharing.
• Developed a skills matrix concept and supported rollout as a basis for structured capability management and training demand analysis.
• Supported preparation of department offsites, implementation of a new Integrated Management System (IMS), creation of a SharePoint-based PMO website and department integration after restructuring.

Results / business impact

• Improved project management & PMO structure, processes and their documentation
• Enhanced transparency and standardization across processes, documentation, governance routines and project deliverables tracking.
• Enhanced information flow and knowledge transfer through SharePoint-based communication, PMO forums, training curricula and instructional videos.
• Strengthened lessons learned, resource planning, agile collaboration, capability management and post-restructure department integration.

• Led end-to-end delivery of ML/AI applications for the QuantistryLab simulation platform, from requirements definition and solution design to development, testing, deployment, and production support, coordinating efforts across back-end, DevOps, and ML teams
• Designed and implemented a compound search system with an open-weights LLM, the Pydantic AI agent framework, and the Model Context Protocol (MCP), exposing it through FastAPI endpoints
• Deployed and configured vLLM-based LLM serving on Kubernetes
• Built CI/CD pipelines and Helm charts to automate deployments across staging and production environments
• Instrumented the search system with OpenTelemetry spans and traces, integrating with the Honeycomb observability platform to monitor component-level latency and functional errors
• Developed a custom evaluation dataset and implemented evaluations for retrieval relevance, answer correctness, tool-call accuracy, and end-to-end task success
• Reduced infrared spectrum prediction time by 83% (from 60 to 10 minutes) by replacing a quantum-mechanical model with a pretrained graph neural network; fine-tuned the model using PyTorch, built and containerized the inference pipeline with Docker, and integrated it into the platform
• Implemented an MLflow model registry with MinIO-backed artifact storage
• Advised sales and science teams on ML/AI applications for prospective client projects, providing technical expertise to shape proposed solutions and prototypes

Technologies: AWS, Hetzner, Kubernetes, Helm, Docker, vLLM, Pydantic AI, MCP, Qwen, Llama 3, MLflow, MinIO, GitHub Actions, Python, FastAPI, OpenTelemetry, Honeycomb, PyTorch, Polars, pytest

• Title: Enhancing Syntactic Awareness in Transformer Language Models for Hindi Dependency Parsing
• Investigated syntactic knowledge captured by transformer language models (RoBERTa, XLM-RoBERTa) for Hindi dependency parsing, a morphologically rich and low-resource language.
• Developed structure-aware model variants (Struct_Roberta_hi, Struct_XLMR) by integrating a CNN-based parser network between transformer layers, inspired by the StructFormer architecture.
• Conducted extensive error analysis including label-wise, distance-based, direction-based, sentence length-based, and LVC/Non-LVC evaluations.
• Evaluated models on downstream NLP tasks (NER, POS tagging) using the IndicXTREME benchmark.

• Gathered and analyzed requirements in close collaboration with business departments to develop data-driven solutions and scalable PowerBI reporting infrastructures.
• Conducted detailed error analyses and optimized existing semantic and data models to ensure a robust data architecture and high data quality and to improve PowerBI reporting.
• Developed and implemented scalable ETL processes for data preparation and integration.
• Built a wiki for table and view descriptions as well as PowerBI PowerQuery and KPI documentation to ensure a consistent understanding of data structures and key performance indicators.

• AI-Enabled Analytics & Reporting: Lead a 2-person BI team, applying predictive analytics and automation to translate complex business requirements into forward-looking insights, recommendations, and financial reports.
• Advanced Data Visualization: Design and maintain 25+ high-impact Power BI/Tableau dashboards tracking company-wide KPIs and trends, structured to support predictive and automated reporting.
• Web Analytics & Insights: Own GA4 tracking and analysis, driving a 15% increase in conversion insight through deeper customer journey analysis.
• Data Pipeline Optimization: Partner with data engineers to redesign and automate data pipeline workflows, cutting manual reporting time by 20% while safeguarding data accuracy and system uptime.

• Contributed to the development of an advanced RAG AI Chat application that integrates multiple LLM models, enabling users to seamlessly switch between models based on specific tasks. This improved the user experience by providing tailored, efficient solutions for various use cases, such as event scheduling, booking systems, and complex task management.
• Participated in designing and implementing a robust backend architecture using Spring AI, enabling advanced AI-driven capabilities like intelligent task automation, language processing, and contextual recommendations. Leveraged Spring AI Tools and Advisors to enhance the performance and decision-making of the AI models.
• Collaborated on the integration of vector databases to support embeddings, enhancing the app's ability to understand user queries and perform actions based on complex, real-time data inputs.
• Contributed to the development of a seamless, user-friendly front-end interface using React with TypeScript support, ensuring a modern, responsive, and scalable user experience across platforms.
• Assisted in implementing state management with Redux RTK for efficient data flow and real-time updates, optimizing the overall user experience in dynamic scenarios such as scheduling and task management.
• Partnered with stakeholders to define feature requirements, helping ensure that the app could scale to meet evolving business needs and integrate with other systems like calendar and email services. Worked alongside cross-functional teams, including data scientists and UI/UX designers, to fine-tune AI models and ensure alignment with project goals.
• Contributed to ensuring end-to-end system performance, security, and compliance by helping integrate authentication mechanisms, role-based access control, and secure communication protocols in both backend and frontend layers.

Technology Stack and Key Contributions:

• Java / Spring Boot / Spring AI: Developed backend services leveraging Spring AI for intelligent responses, task automation, and complex workflows.
• React / TypeScript: Built intuitive user interfaces with React and TypeScript, ensuring a smooth and scalable frontend.
• Redux RTK: Managed application state with Redux RTK for optimized state management, enabling dynamic, real-time data updates.
• Vector Databases: Integrated vector databases (pgVector) for embedding support, improving AI model performance in handling complex queries.
• PostgreSQL / Redis: Managed persistent and temporary data with relational and in-memory data stores, ensuring data integrity and speed.
• Kafka: Utilized Apache Kafka for event-driven communication and seamless integration between microservices.
• Spring Security: Ensured the security of backend services with robust authentication and authorization mechanisms.
• CI/CD & DevOps: Integrated continuous integration and deployment pipelines to ensure rapid and secure deployment of features and updates.

• Establishment of as-is baseline performance and KPI framework
• Extrapolation of baseline-potential in relation to product, demand and organizational structure for t + 3 years into the future
• Development of measure-based improvements forecast
• Finalization of financial business modelling by including unit structure changes, commission scheme development and overhead costs
• Stack: Microsoft Excel

• Development of a pilot system to control and monitor multiple GoPro cameras
• Implementation of start, stop, status, media, download, and diagnostic functions via COHN endpoints
• Realization of camera detection, single and group control, as well as stable session/keep-alive logic
• Setup of a download pipeline with queue, retry handling, and temporary files
• Consistent session, folder, and file naming for multi-camera recordings
• Integration of provisioning, certificates, and network operations

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

• Driving strategic partnerships, product development, and company growth from early-stage concept to operational execution
• Leading business development, early project scoping, and advisor integration to establish Qlance’s value proposition in real-world cases
• Set up core operations, talent onboarding processes, and relationship management structures to enable scalable collaboration with clients
• Built initial network of high-potential talents from leading European business schools and began matching them to first client challenges

• Conduct data management and statistical analysis for clinical studies on behalf of CROs.
• Guest lecturer at Ivancity University, Paris, specializing in data anonymization techniques and statistical disclosure control.
• Provide scientific and medical writing services for pharmaceutical companies.
• Perform optical mapping data analysis and develop software tools with a focus on algorithm optimization and technical support.

• Analysis of the possibility of transferring market location data to a separate microservice in an overarching web portal
• Development of a more user-friendly target process based on the current process in coordination with users
• Coordination of the related architecture concept with architects/developers
• Coordination of the related epics and user stories with the relevant business departments
• Backlog prioritization and project planning (including effort estimation)
• Testing and acceptance of implemented user stories
• Technologies/tools used: MS Office, Jira, Mural, Kotlin, React, GitHub, MS Azure, SQL, Postman, XML, JSON, Kafka, Balsamiq, BPMN

• Evaluate, design, and implement Power BI solutions for Cat4 reporting, significantly improving reporting efficiency, accuracy, and stakeholder visibility.
• Develop and maintain robust data integration interfaces between Cat4 and Power BI, eliminating manual processing bottlenecks.
• Configure and continuously optimise Power BI reports to deliver sharper management insights and support data-driven decision-making.
• Ensure full GDPR data protection compliance across Power BI reports, proactively identifying and mitigating risks.
• Acquired in-depth product knowledge of CAT4, a globally deployed enterprise platform, enabling effective requirements analysis, solution design, and seamless Power BI integration across client environments.
• Developed and integrated scalable reporting templates within the CAT4 product interface, delivering new product features and enhancing data visualisation, reporting efficiency, and stakeholder visibility across global users.
• Trained and mentored staff on Power BI configuration and best practices, accelerating adoption and embedding a data-driven culture.
• Prepared clear technical documentation and delivered hands-on demonstrations to end users and clients, ensuring smooth adoption and confident use of Power BI solutions integrated with CAT4.
• Researched and recommended licensing strategies for cost-effective and scalable Power BI deployment.

SKILLS - BI & Visualisation: Power BI (Desktop, Service, Report Builder), DAX, Power Query

Project and Product Management Tool: CAT4

• Visualization, search, and maintenance of various types of master data, providing them via a REST API, and implementing a variety of import and export formats.

• Implementation, architecture, project management.

• Technologies and tools: Angular (Signals, Signal Store, swagger-codegen, standalone components), Java, PostgreSQL, ActiveMQ, JavaScript, Spring Boot (Spring Core, Spring MVC, Spring Data/JPA via Hibernate, Spring Security, Spring Modulith), JUnit, Flyway, QueryDSL, GraphQL, REST API, Node, npm, Maven, SonarQube, GitLab CI/CD pipelines, Docker, Nexus, OpenAPI + Swagger UI, Keycloak, OAuth2, OpenID Connect, IntelliJ IDEA, Jira, Confluence.