Freelancer profile translated to English.

Description

I help companies make Artificial Intelligence, Generative AI, and Data Science practical and economically viable. Whether it's developing AI strategies, implementing productive LLM solutions, or training employees – I'll guide you from idea to implementation.

With over 15 years of experience in Data Analytics, Machine Learning, and Business Intelligence, I bring a deep understanding of data, models, and business processes. As a Professor of Data Science and Statistics, I have not only perfected the craft but also the ability to convey complex content in an understandable, practical, and inspiring way.

My focus areas are:

• Generative AI & LLMs (Prompt Engineering, RAG, Fine Tuning, Guardrails, LLMOps)

• Machine Learning & Statistics (Predictive Models, Hypothesis Testing, Model Validation, A/B Tests)

• Data Engineering & Business Intelligence (ETL/ELT Pipelines, Data Lakehouse, Tableau, Power BI)

• AI Ethics & Governance (Data Protection, Compliance, Responsible AI)

• Curriculum Development & Training (Workshops, Certificate Courses, Hands-on Labs)

What makes me special: I combine scientific precision with entrepreneurial pragmatism. My projects are not only technically sound but also deliver measurable results: higher productivity, better decision-making foundations, and sustainable value creation.

Industry field of expertise

Languages

German
Native or bilingual
English
Fluent
French
Basic

Workplace preferences

Remote only

Primarily works remotely

Deutsche Bank AG
AI Workshop Lead, Senior Data Scientist, Curriculum Developer, Trainer
BANKING AND INSURANCE
March 2025 - June 2025 (3 months)
Description:
Conception of a training program on Artificial Intelligence and Generative AI with modular content, interactive exercises, and live demos, considering technical and functional requirements.

Activities:
• Designing a modular agenda covering ML fundamentals, Prompt Engineering, generative models, deep learning architectures, Agentic AI concepts, and AI ethics and security
• Defining clear learning objectives and practical tasks for each module
• Creating interactive live demos and hands-on sessions using the OpenAI API
• Collecting and prioritizing functional and technical requirements in a backlog
• Versioning all training materials in Confluence and SharePoint for easy updates

Technologies:
Python libraries for Machine Learning, Prompt Engineering, Generative AI, Deep Learning Architectures, Agentic AI, LM Studio, Ollama, OpenAI API, Confluence, SharePoint

Project Success:
Fully aligned AI training framework with modular learning content, clear learning objectives, and didactic materials that meet all requirements and enable a smooth workshop start.
Machine learning Generative AI Prompt engineering Curriculum Development & Training Collaboration & Knowledge Management
DBU Digital Business University of Applied Sciences
Professor, Academic Program Developer, Lecturer, Generative AI Specialist
EDUCATION AND E-LEARNING
June 2025 - Today (1 year)
Berlin, Germany
Description:
Development and delivery of an academic certificate program focusing on Generative AI and Prompt Engineering. The program combines theoretical foundations with practical hands-on examples and addresses modern concepts such as Edge AI, RAG, and automation.

Activities:
• Developing and elaborating a curriculum for the certificate program with a focus on Generative AI and Prompt Engineering
• Designing practical low-code hands-on examples to teach core concepts
• Integrating current topics such as Edge AI, Retrieval-Augmented Generation (RAG), and automation into the curriculum
• Marketing and didactically preparing the program for the DBU University of Applied Sciences

Technologies:
Generative AI, Prompt Engineering, Agentic AI, Low-code tools, GitHub, n8n, Ollama, LMStudio, OpenAI Playground

Project Success:
Successful conception and implementation of an innovative certificate program (CAS - Certificate of Advanced Studies) at Master's level, which meets academic requirements while imparting practical skills. The program strengthens the university's position as a pioneer in AI-supported teaching.
Generative AI Data Science, Curriculum Development & Training RAG n8n
REWE Group
Managing Consultant, Data Analyst, Strategy Advisor
RETAIL (LARGE RETAILERS)
July 2025 - Today (11 months)
Description:
Analysis and development of a performance-oriented introduction strategy for Microsoft 365 Copilot at Rewe Group. Focus on productivity measurement, key figure development, performance clusters, and economic efficiency calculation to derive a sound decision basis for management.

Activities:
• Screening relevant studies and trade publications on the productivity impact of AI-powered tools
• Analyzing usage data in the Microsoft 365 Admin Center and deriving relevant KPIs
• Developing a quantitative questionnaire and a qualitative interview guide
• Conducting and evaluating online surveys and expert interviews with semantic processing
• Forming productivity clusters and creating user group-specific profiles
• Modeling realistic business case scenarios, including net present value, ROI, and payback period
• Deriving a performance-driven introduction strategy with recommended actions
• Validating results through benchmarking with competitors and creating a board presentation

Technologies:
Microsoft 365 Copilot, Microsoft 365 Admin Center, statistical and text analysis, visualization, Jira, Confluence

Project Success:
Decision-ready basis for targeted license allocation and economically sensible introduction of Microsoft 365 Copilot, supported by data-based performance and business case analysis.
Statistics Data Science, Collaboration & Knowledge Management