Data Science Expert in Frankfurt

• In my current position, I have end-to-end responsibility for AI products: from identifying and prioritizing use cases, developing sound business cases, AI roadmaps, and capacity and resource allocation, through to scalable implementation across countries and business areas.

• I design operating models, delivery standards, and operational concepts that ensure AI product development runs reliably and scales sustainably – always aligned with strategy, goals, capacities, and business value.

• Leading and developing interdisciplinary teams of data science and product professionals in an agile working model is a core part of my role – I currently lead a team of three employees.

• I am confident in stakeholder management at senior management level and in international structures, and translate complex technical topics into clear, business-oriented recommendations for action.

• I consider governance from the outset: I consistently align AI initiatives with regulatory requirements (including the EU AI Act), risk management, and data protection requirements.

• Led a transformation program in corporate finance & procurement across 25+ countries
• Managed end-to-end implementation of SAP S/4HANA and Coupa for 60 regional entities
• Handled post-acquisition integrations including financial reporting, HR systems, and governance
• Directed cross-functional teams, change management, and stakeholder engagement
• Coordinated post-merger integration with the works council for IT system rollouts and GDPR compliance

• ITSM consulting, analysis and optimization of IT capacity with BMC TSCO / BMC Helix
• Drafting "Governance guidelines for operational capacity management"

• Porsche ID is a unified digital identity platform providing secure authentication and seamless access across Porsche’s online services, mobile apps, and connected vehicle features
• Designed and implemented new authentication and authorization functionalities for both users and systems
• Ensured high availability, security, and performance to deliver a flawless digital experience for Porsche customers
• Technologies: Auth0, Angular, Tailwind, AWS, Terraform, Github
• Methodologies: Scrum and SAFe

• Responsible for operations build-up and scaling

• Defining the global digital strategy and roadmap

• Acting as product owner for the AI applications

• Developing and maintaining strategic networks to support customers’ change

• Responsible for custom projects and change management

• Product owner for an AI native application that shortens research cycles from 2 weeks to 1-2 days

• Introduced an AI agent to optimize company and market analysis processes

• Established strategic partnerships with major data and technology incumbents

• Delivered dedicated customer projects in scope, time and budget

• Supported the International Web Presence project of the Federal Employment Agency (IntWeb) in quality management, taking on responsibility for the quality of processes and project deliverables while adhering to BA standards. The project's main goals are to give professionals abroad a quick overview of their chances to move to Germany and to enable them to take the necessary steps in a consistently digital way.

• Set the fundamental guidelines using the QA handbook

• Summarized test results in QA reports for PLA

• Analyzed project outcomes for improvement opportunities

• Quality management of requirements analysis (especially processes, methods and tools)

• Ensured compliance with SERA guidelines

• Created a cross-project test concept

• Agreed on sprint completion reports

• Conducted formal reviews of deliverables according to guidelines and/or project plan

• Acted as contact person for internal audit and external audits by auditors or the Federal Audit Office (BRH)

• Technologies: JIRA, Confluence, MS Office, GitLab, Kubernetes

• Advising on the use of analytics and BI tools and services in the Microsoft Azure stack (e.g. MS Fabric, Synapse Workspaces and dedicated SQL pools, SQL Database, PostgreSQL, Snowflake, Databricks, Data Factory, SSIS, Analysis Services, Function Apps, Power BI, ML)
• Independently designing analytics solutions with Python, SQL, etc.
• Designing and implementing ETLs and data pipelines
• Creating and maintaining APIs
• Independently applying CI/CD, testing, and version control
• Data modeling
• Model development and optimization
• Anomaly detection with AI
• Predictive analytics

Used technologies:

• Snowflake
• Fabric
• Azure Synapse Analytics
• Azure DataFactory
• Azure Data Lake
• Azure DevOps
• Databricks
• Spark
• CI/CD
• SQL Database
• Python
• Power Platform

• Steer innovation projects for AI-based systems, focusing on plant detection technology for agricultural applications.
• Champion digital transformation initiatives within software departments, advocating for Agile methodologies and Scrum-based workflows.
• Analyze and optimize team infrastructure, fostering a culture of continuous improvement and strategic development.
• Pioneered integration of AI technology in agricultural equipment, significantly advancing precision farming techniques.
• Designed a cloud-based dashboard platform, facilitating real-time data access and decision-making for field management.
• Developed camera-based GPS systems for tractors, enhancing field analysis capabilities.
• Created and implemented AI interfaces for pre-processing image data, ensuring seamless statistics delivery to the cloud via LTE.
• Innovated cloud-based dashboard platforms, introducing cutting-edge technology concepts and coordinating cross-functional teams to execute project visions.

• Architect AI strategies and smart business processes for companies implementing AI initiatives.
• Focus on pragmatic and trustworthy AI integration delivering tangible operational value.

• Testing the SekIDP and related components
• Test design, execution and automation, microservices, GitHub Enterprise, Eclipse, Katalon Test Platform, API Testing, Confluence 8, JIRA/Xray, Draw.io, Swagger/OpenAPI, Postman, Docker, Kubernetes, Podman, PuTTY, E-Health, Telematik, Gematik standards, EPA, E-Rezept, sektoraler IDP, encryption, XaDES, PaDES, DICOM, HL7, FHIR, IHE, ICD, SSO, SAML/Shibboleth, OAuth, smartcards, JWT, two factor authentication Android and iOS, Wireshark, BrowserStack, Cypress, gRPC, REST, SOAP, WS-Security, Linux Shell, PowerShell, SSH/SSL, Java, Kotlin, Cordova, Gradle, Groovy, Python, TypeScript

• Highly successful role as lead data analytics expert at a US consulting startup.
• Managed stakeholder expectations by ensuring team delivery velocity using Agile and Lean practices.
• Trained and assembled international offshore data science teams of DevOps engineers, BI developers, and technical support specialists.
• As Sparecodes' data analytics experts, we improved our clients’ business outcomes through requirements management, dashboard and report development, migration, automation, and production support using IBM Cognos, AWS, SAP, Oracle, Teradata, CRM, ERP, Confluence, and Microsoft.
• Provided effective coaching and mentoring for international, multicultural teams in a remote environment, covering new tools and techniques, Agile best practices, internal and external communication, and presentation skills.
• Coordinated technical processes efficiently, including managing and implementing project changes and control processes.
• Promoted strong team engagement and supported employees’ career development, including business change management through coaching.
• Enhanced project status reports by providing insights into team productivity, predictability, and backlog burn-down, leading to improved project outcomes.
• Successfully led the coordination and implementation of software solutions for clients in mechanical engineering, including automation system integration and customization to meet client needs.

• Responsible for the end-to-end application and integration architecture of the Hamburg S-Bahn maintenance digitization program. A highlight is the introduction of robots and fixed camera towers to automate vehicle inspections, allowing AI image algorithms to assess train conditions during operation.
• Deutsche Bahn has one of the largest SAP PM implementations worldwide, which is a key component of this digitization.

• Presentation introducing generic AI and large language models
• Explanation of legal frameworks (EU AI Act, US CLOUD Act, GDPR)
• Systematic review of AI tools along the SDLC and holistic systems
• Comparison of on-prem LLMs vs. cloud-based, as well as change management and works council
• Facilitated the discussion and derived next steps for introducing AI development tools

• Built an API to ingest, clean, translate, and index EU tenders documents in Neo4j, enabling hybrid search with RAG and Cypher queries via a Streamlit dashboard
• Deployed the API on AWS Lightsail container services with CI/CD automation via GitHub Actions, ensuring stability through pytest unit and integration tests
• Designed and developed a comprehensive online course on data analysis using ChatGPT for professionals and learners, creating instructional videos and interactive Jupyter notebooks
• Utilized OBS and professional audio equipment to ensure high-quality video and audio content
• Led a CRM data normalization and cleaning project visualized via a Sankey diagram to aid customer understanding and pipeline development
• Implemented and validated a genAI-driven web crawling strategy on AWS, ensuring data quality, scalability, and CRM data augmentation