• Expert in Python programming (pandas, NumPy, scikit-learn, PuLP, optimization libraries), SQL, and data pipelines (ETL/ELT)
• Development of algorithms for Operations Research topics (allocation, scheduling, heuristics) to address capacity constraints and improve decision-making transparency
• Advanced business process analysis in complex logistics and manufacturing environments
• Experience in supply chain analytics, including forecasting, procurement optimization, BOM/data harmonization, and SAP integration
• Practical experience in LLM programming (document automation, NLP-based analytics)

• Business development / Due diligence support
• Manufacturing coordination
• Product management for product portfolio of >300MEUR+ turnover

• Project budgets up to >10MEUR and 100+ staff
• in projects covering LiDAR, ESP/ABS sensors, ECUs and braking systems
• with both classical & agile methodologies (Kanban/Scrum)
• PMP certified (Project management Professional)

Work Experience

2023 ? today

Role: Data scientist/engineer Supply chain optimization

Customer: Automotive

Tasks:

Purchasing 

• Developed a Python-based analytics tool to automatically detect and visualize supply gaps in the automotive supply chain. 
• Integrated master data, demand planning data, and inventory levels, with automated updates through an SAP interface. 
• Designed algorithms to highlight forecast deviations and material shortages, improving end-to-end visibility in material requirements planning.

Result:

• Significantly increased transparency along the supply chain, enabling early identification of critical parts and proactive exception management. 
• The solution reduced ad-hoc escalations, supported cross-functional planning processes, and strengthened the reliability of material requirements forecasts.

2023 - 2023

Role: Consultant Change management

Customer: Solar (electronics) 

Tasks:

Development/Production 

2023 - 2023

Role: Data scientist/engineer Business processes

Customer: Automotive 

Tasks:

Purchasing 

2022 - 2022

Role: PMO support

Customer: Solar 

Tasks:

Development/Purchasing 

2022 - 2022

Customer: Automotive 

Tasks: 

Purchasing  - Supply chain optimization

• Developed a Python-based optimization tool to stabilize procurement during the semiconductor shortage.
• Built quantitative allocation models linking raw materials to finished products using transactional data (BOMs, inventories, demand) and structured master data. 
• Initially applied PuLP (Python equivalent to Gurobi) to explore solver-based approaches and to benchmark feasibility. 
• Based on these insights, a proprietary heuristic algorithm was designed for the combinatorial allocation problem.

Result:

The solution enabled targeted prioritization of limited purchasing capacities, provided a structured basis for decision-making, and improved transparency of dependencies between components and finished products.

2022 - 2022

Edu/Training

Tasks:

Strategy consulting

2021 - 2022

Role: Interim CEO

Customer: Solar (electronics) 

Tasks:

Executive level

2021 - 2022

Role: Data scientist | Data scientist

Customer: Startup 

2021 - 2021

Role: External Benchmarking Analyst

Customer: Electronics manufacturing 

2020 - 2020

Customer: Material Analysis Lab 

Tasks:

• Strategy/Project management 
• Consulting