Data Scientist · Machine Learning · Applied AI
I design and ship machine learning systems end to end; from statistical modeling
and experiment design to production LLM applications.
9+ years across nonprofit, tech, and international development.
Customer Data Science: propensity scoring, churn prediction, segmentation, customer lifetime value
Experimentation: A/B test design, statistical inference, uplift measurement
NLP & LLMs: semantic search, document intelligence, transformer fine-tuning
RAG Systems: ingestion, embedding, vector retrieval, grounded question answering
AI Integration: LLM-powered features embedded into production data workflows
Forecasting: classical time series, deep learning, and transformer-based approaches
Happy to collaborate – and to volunteer data science for causes that matter.


