Data Scientist · ML Engineer

Addison Sans

Available for contract work — remote or hybrid

I build AI and data pipelines that turn messy, high-stakes data into clean, usable systems. Background spanning neuroscience research, industry data science, and government regulatory data.

Comfortable in environments where the data is messy, the requirements are unclear, and the output still has to be right.

Get in touch See the work

Selected projects

All projects →

CILB Document Pipeline 2026

AI automation system built for the Florida Construction Industry Licensing Board, replacing a manual paper-based document review process used in official licensing proceedings.

Python · OCR · LLM extraction · Vision APIs · SQLite
Bakery Daily-Delivery Forecasting 2024

Forecasting out-of-stock events for a California bakery's daily-delivery model — Python analysis behind Tableau dashboards the operations team actually used. Engagement continued under contract after I rolled off.

Python · Pandas · Tableau · Time-series forecasting

Publications

Research →

Co-authored peer-reviewed work from my time in neuroscience research.

Kimmet, F., Pedersen, S., Cardenas, V., Rubiera, C., Johnson, G., Sans, A., Baldwin, M., & Odegaard, B. (2023). Metacognition and Causal Inference in Audiovisual Speech. Multisensory Research, 36(3), 289–311.

University of Florida
Manuscript under revision — multisensory behavioral study with collaborators at Lingnan University and the University of Florida.

University of Florida
Forthcoming paper (co-authored with David Rosenthal and Brian Odegaard) — pending submission.

University of Florida