Student building data-driven growth systems, interested in incentives, behavior, and strategic decision-making.
My work focuses on using data analysis, modeling, and automation to understand strategic behavior and build systems around it. I’ve worked in both academic research and startup environments, and I’m comfortable with the goals, pace, and tools of each. Currently, I’m especially interested in how people and organizations make decisions, and how data-driven systems can shape growth and incentives. In my free time, I like to paint and collect soviet watches.
Designed and built the lead pipeline for a German B2B SaaS company: automated sourcing, classification and scoring of 1,000+ companies, with a closed feedback loop from CRM outcomes back into scoring.
Worked in R and ArcGIS, building repeatable pipelines for spatial joins, political data analysis, and visualization, supporting insights into nationalization within and across countries.
Developed fixed-income comparison instruments showing Charitable Gift Annuities are a more profitable financial vehicle than Commercial Annuities in 53% of age-tax-bracket pairings, yet remain underutilized, most likely due to poor marketing.
Applied Word2Vec embeddings with LSTM and BiLSTM models to classify text by philosophical alignment using a corpus of philosophical texts with 89% accuracy.
Novamag GmbH
University of Pennsylvania
University of Pennsylvania
Farm to People
Philosophy, Politics and Economics, BA: Choice & Behavior, Minor in Data Science