Data Science & Legal Tech Consultant
Expert consultant bridging the gap between cutting-edge data science and modern legal practice. I help law firms and legal tech companies leverage AI and machine learning to transform how legal work gets done.
I'm uniquely positioned at the intersection of law, economics, and data science. Currently pursuing parallel degrees in Law and Economics while maintaining an active consulting practice, I bring both deep technical expertise and growing legal domain knowledge to every project.
My interdisciplinary approach combines:
I stay current with the latest technological developments and am a heavy user of cutting-edge AI and data science technologies in my daily work and research.
Comprehensive data science training programs across multiple sectors. Led advanced ML courses at Data Science Retreat (mentoring 50+ participants), conducted weekly 'Applied Machine Learning' sessions at Audi AG, and delivered specialized workshops bridging data science with legal technology.
Design and implement large language model solutions for contract analysis, legal research, and document automation. Expert in prompt engineering for legal contexts.
Design and implement ML solutions for predictive maintenance, demand forecasting, customer analytics, and risk assessment across various industries using advanced statistical methods and modern ML frameworks.
Strategic consulting on legal technology adoption, data governance for law firms, and compliance frameworks for AI in legal practice.
Published research on climate change lobbying analysis and inflation expectations modeling, demonstrating interdisciplinary approaches to economic and legal questions.
Led machine learning training programs at Audi AG, focusing on predictive maintenance solutions that reduced equipment downtime and improved operational efficiency.
Teaching assistant for "Recht und Informatik" LL.M. program at FAU Erlangen-Nürnberg, helping legal professionals understand computational approaches to legal problems.