Evaluation and expert assessment for a leading mechanical engineering company in the field of emission reporting.
Validation of the implemented calculation logic for compliance with GHG Protocol requirements.

Development of an expert system for operator support in case of machine issues
Combined structured machine data and unstructured shift book entries to derive actionable insights
Used large language models (LLMs) to extract patterns and recurring problems from historical text data
Developed logic to generate context-aware recommendations for operators based on past incidents and sensor data
Designed a pipeline integrating machine data/logs, and LLM-based inference
Improved response times and consistency in troubleshooting by providing intelligent, data-driven decision support

Lead time analysis is the process of measuring and improving the time it takes to complete a process from start to finish.
Can be applied to different industries and operations, such as manufacturing, supply chain management, project management, and service delivery.
Can help identify the sources of delays, inefficiencies, and waste in a process, and provide insights on how to optimize the process and reduce the lead time.

Project to quantify the impact of marketing activities on sales performance
Collected and harmonized multi-channel marketing, sales, and external data (e.g., media spend, pricing, promotions, seasonality, competitors)
Built regression-based models to estimate the ROI and effectiveness of marketing channels
Identified key drivers of sales and quantified their incremental contribution
Provided actionable recommendations for budget allocation and media optimization
Collaborated closely with marketing and data teams to ensure stakeholder alignment

Project 1: Identification of the optimal location for a new logistics warehouse to support inbound transport operations of an industrial company.
Project 2: Determination of the optimal number and geographic placement of new production sites for a consumer goods manufacturer.
Additional description (applies to both projects): Transport data analysis and application of state-of-the-art optimization methods.

Support for “classic” applications within business units (legacy processes & tools, etc.)
Development and maintenance of solutions using Excel, VBA, SQL, KNIME, Python, R
Support for ad-hoc data science prototypes
Interim business and IT support

Design and implementation of a client-server database solution to support freight tender management for a logistics service provider
Design and implementation of the database
Design and implementation of the Excel add-in

Performance evaluation of a spare parts management system
Conducted statistical analyses and surveys on key supply chain metrics (costs, inventory levels, inventory turnover, service grade, etc.) across the entire logistics network of an automotive OEM
Winner of the AFITL & Wolters Kluwer Award

Professor für Business and Informatics

Profilanlagen