• Development of machine learning-based solutions for the automation of logistics processes 
• Design and implementation of ML, clustering, Bayesian, and classical statistical models to optimize operational workflows 
• Analysis and processing of high-dimensional real-time data, including via Azure Synapse and Azure ML, and using these for forecasting and decision support
• Development of scalable data pipelines on cloud platforms like Azure and integration into production-grade DevOps environments
• Technical implementation primarily in Python using modern libraries and best practices, complemented by SQL, PySpark, and potentially Rust
• Translation of requirements into testable models, close coordination with customer teams, and support of implementation through testing and quality assurance up to GoLive
• Creation of dashboards and reports for data-driven decision support
• Market analyses and customer segmentation
• Creation of customer clusters based on statistical models and object-oriented simulations to model market behavior

• As a freelance consultant for PathoBlock Therapeutics, I led study design and statistical data analysis for clinical and real-world evidence projects.
• I applied advanced methodologies, ensured data quality, and translated complex findings into actionable insights. 
• My work met high scientific and regulatory standards and was valued across clinical, regulatory, and medical teams. 
• I was recognized for reliability, expertise, and collaboration.

• Founding, team coordination, and project management including task allocation

Projects/Customer