Hi, my name is Sean
I’m a data scientist working on improving peoples health and driving behavior change. I love asking interesting questions and using math to find impactful solutions. Most my days are made up wrangling, exploring, and modeling data in python. The tools I use range from deep learning to causal inference.
Experience
Apple
Senior Data Scientist
Dec 2019 - Current
- Health initiatives R&D, working with Apple watch, phone, claims data, and medical surveys
- Drove product improvements using observational casual analysis techniques and experimentation
- Modeled behavior change and the impact of programs on health / wellbeing
Microsoft
ML Engineer (Intern)
May 2019 - Aug 2019
- Extended Azure SDK to incorporate open source MLflow projects to pipelines
- Developed solutions for ML development lifecycle (development, production, monitor)
- HoloLens 2 NLP virtual assistant at hackathon
Disney
Data Scientist
Jan 2018 - May 2018
- Lead research and development of recommender system for Disney World app in park experience
- Integrated many big data and real time processing tools like Hadoop, Spark, Kafka and NiFi
- Created live dashboards to monitor and visualize large data pipelines and algorithms
Loveland Innovations
ML Engineer
Feb 2017 - Jan 2018
- Used drone imaging to construct 3D models of buildings
- Built production algorithms to segment 3D models, detect damage, and identify roof features
- Applied and scaled machine learning research to industry
Education
Brigham Young University
Masters Computer Science, BS Applied Math
Dec 2017 - Nov 2019
- National Merit Scholar
- 2015 & 2017 Distinguished Undergraduate in Mathematics
- Data science course instructor in South Africa and Portugal
- MIT Lincoln Labs
Research
Researched machine learning techniques in healthcare for survival analysis, disease prediction, and cost analysis. Applied new methods for training gradient boosted trees and recurrent neural networks to large healthcare datasets. Also developed high dimensional disease embeddings based on the field of natural language processing.
Skills
Python
Spark
Deep Learning
ML
Stats
Big Data
Data Engineering
Bayesian Inference
SQL
Computer Vision
Data Viz
Jupyter
Linux
JS
Web Dev