Developer, Data Science & Business Analytics

Design and development of LLM applications using Python, C#, and TypeScript. Implemented AI-powered solutions with LangChain for orchestration, prompt engineering, and workflow automation. Built structured AI pipelines for business processes and decision-support systems. Created modular and scalable AI architectures for enterprise applications. Optimized prompts, context management, and response validation. Collaborated with cross-functional teams to align AI solutions with business objectives and user needs.

Automated strategic business processes using Python and SQL, increasing reporting speed by 60%. Developed a competitive intelligence system with 20 RPAs using Python, Selenium, and Azure for real-time market monitoring. Improved passenger demand forecast accuracy by 25%. Led market expansion analysis projecting 20% annual revenue growth. Enhanced data reliability through preprocessing and validation frameworks.

Managed cost center controls and financial performance modeling. Developed executive dashboards and management reports for Germany and USA stakeholders. Strengthened data governance and reporting accuracy across departments.

Developed budgeting and forecasting dashboards supporting engineering investment planning. Standardized financial data to improve cost control visibility. Contributed to cross-program synergies and financial optimization initiatives.

Worked on data preprocessing, automation, web scraping, and Agile/Scrum processes.

Managed full operations across financial, commercial, HR, and digital strategy functions.

Master’s degree in Data Science & Business Analytics.

MBA in Marketing.

Bachelor in Business Administration.