Manager, Data Science & AI
– Energy & Public Sector
Transforming complex data into actionable insights and intelligent, high-value solutions.
About Me
A brief overview of my professional journey and qualifications.
Executive Summary
As a Manager for Data Science & AI and PMP-certified Project Manager, I specialize in delivering high-impact AI and analytics solutions across the energy, mobility, and public sectors. With over seven years of professional experience, I bridge strategic project execution with deep technical expertise in machine learning, data engineering, and cloud-based architecture
My portfolio includes a range of real-world solutions—from deep learning models for grid stability and predictive maintenance in energy systems to business intelligence dashboards for hydrogen infrastructure and railway customer analytics. I lead cross-functional teams to translate complex data challenges into scalable, intelligent products that drive operational efficiency, compliance, and innovation.
Education and Research
- PhD (cand.) in Data Science & Energy Systems, TU Dortmund (2020-2025)
- Research Assistant at Information Processing Lab, TU Dortmund (2016-2018)
- M.Sc. & B.Sc. Electrical Engineering and Information Technologies, TU Dortmund
Certificates
- Project Management Professional (PMP)
- Certified Product Owner (Scrum.org)
- Azure Fundamentals (AZ-900)
Core Expertise
A selection of my key technical skills and competencies.
Generative AI & Machine Learning
Responsible AI, agentic systems, prompt engineering, fine-tuning, and classical ML models.
Data Solutions & BI
End-to-end data visualization, ETL pipeline development, and cloud-native data integration.
Energy & Power Systems
Domain expertise in power grid analysis, stability modeling, and energy market analytics.
Cloud Architecture (Azure)
Architecting and managing robust cloud solutions, from data engineering with Databricks to deploying AI services.
Project Management
Leading projects with predictive, agile, and hybrid methods to maximize value. Certified PMP & Product Owner.
Programming & Tools
Proficient in Python for data science, specialized power systems software, and statistical tools for analysis.
Featured Projects
A selection of projects that showcase my skills and impact.
Predictive Risk Analytics for a DSO
Deep Learning • Energy Sector
Developed a sophisticated LSTM deep learning algorithm to forecast risks for critical assets, enabling a shift from reactive to predictive maintenance and significantly reducing asset downtime.
Power Grid Stability Intelligence
Deep Learning • Grid Operations
Engineered a data-driven deep learning regression model to output a stability score for dynamic power simulations. This provides operators with a novel, efficient tool to ensure grid reliability.
Customer Journey Analytics Dashboard
Business Intelligence • Railway Sector
For a client in the railway sector, executed a full-scale ETL process and developed various Qlik Sense dashboards to visualize customer journey data, leading to data-driven improvements in customer satisfaction.
Hydrogen Station Market Analysis
Market Analysis • Clean Energy
Built a Power BI dashboard analyzing hydrogen loading station distribution in Germany. The insights highlighted key KPIs and uncovered potential new business cases.
Interactive Use Cases
Explore live dashboards demonstrating practical applications of my skills.
Live Dashboard Demos
From project management EVM charts to real-time power grid simulations, see data science in action. Click to interact with the dashboards.
Explore the Dashboards →