Expert profile

Dr. Sandra Romeis

As a statistician with a PhD and an interdisciplinary background, and a proven expert in digitalization, artificial intelligence, and data science, I combine analytical depth with effective change management. It is important to me to get people on board and help companies move forward. I support digital transformation—from data-driven projects and coaching employees and managers to corporate and organizational development and change management. In doing so, I translate complex technologies into understandable decision-making bases and create spaces for learning, reflection, and sustainable impact.

training focus

Future Jobs Classes
Data Analytics and Artificial Intelligence
Digital Transformation & Change Management

Professional experience

Others (2023)
- Department: IT & AI
- Industry: Manufacturing
- Company size: Up to 9 employees
- Description: Founder, which provides AI-powered, data-driven solutions that help companies strategically leverage their data, unlock potential, and drive successful digital transformation.
team leader (2018 - 2023)
- Department: Production & Manufacturing
- Industry: Manufacturing
- Company size: 1,000 or more employees
- Description: Team Lead: Data Lab, Smart Factory
Specialist / Expert (2008 - 2018)
- Department: Research & Development
- Industry: Consulting
- Company size: 1,000 or more employees

Qualifications

Doctorate (Friedrich Schiller University, 2017)

Working languages

English
German

Publications

AI learning journey with management. Industrial AI Podcast (2021)
Modeling Purchase Journey Clickstream Data - An across-the-websites approach using Markov (2018)
Being a Data Scientist in a Non-Data-Driven Company: Lessons Learned from My First Year at REHAU. Machine Learning Week Europe, Keynote (2021)
Sustainable Transformation: Step-by-Step to AI-Optimized Production. Hannover Messe (2025)
Transition from university to work – recruitment requirements on the job market & coping strategies of university graduates. (2007)
GfK "Segmentor" versus alternative clustering methods. GfK SE, Marketing Sciences, Nuremberg (2012)
Structured data lake or needs-based patchwork? The Erium Podcast (2020)