A consulting position at a large European IT-consulting house. Mostly NLP-related usecases, as well as general software development (web services, APIs) and refactoring of legacy systems.

Main tasks:

• Implementation of NLP usecases (end-to-end)
• Development of web-services (frontend + backend)
• Improvement of data engineering practices
• Integration of LLMs into business processes

Core member of the newly created analytics competence center. Focus on implementing ML-powered usecases across many of the domains of the insurance business (claim recognition, product recommendation, fraud detection, churn analysis, etc.)

Main tasks:

• Implementation of insurance-related Data Science usecases (image and text classification, product recommendation, fraud detection)
• Mentoring of juniors / interns
• In-house consulting

Working on an integrated Data Science platform (SaaS) for clients in the banking and insurance sectors.

Main tasks:

• Development of a licence management software for SaaS applications
• Development of a notebook-based Data Science platform

Credit risk management (estimation of the probability and loss of a credit default). Started as an intern, then got hired as consultant and later promoted to senior consultant.

Main tasks:

• Development of simulation based credit portfolio models
• Implementation of credit-risk related usecases (time-series and cross-sectional prediction models)
• Development of desktop and web-based applications for credit risk simulations and model validation