Mason Montgomery

About Mason Montgomery

I use ML to connect the data you have to the insights you need.

Experience

1. Data Scientist

   Deloitte

   Feb 2021 — Present

   A Federal Financial Agency- Led junior teammates in translating their traditional actuarial models into Python code- Trained logistic models on economic factors to predict bankruptcy ratesA Federal Health Agency- Developed and deployed ML approaches to leverage terabyte-scale health data to predict health outcomes on AWS SagemakerNCUA- Generated synthetic data using the Synthpop R package to test and build PowerBI dashboardsTrustworthy AI Team- Initiated and led the team\'s Synthetic Data and Model Monitoring efforts- Coded Python classes to generate Synthetic Data and measure its quality- Composed an internal white paper to bring non-experts up-to-speed on Synthetic Data- Improved existing code related to model Fairness, Robustness, and ExplainabilityState Health Department-Managed an international team of six building Tableau Dashboards and Excel-based tools for a state clientFirm Initiatives- Conducted case interviews for dozens of prospective analysts

Education

• Virginia Commonwealth University

  Master's degree, Biomedical/Medical Engineering

  2010 — 2012

• University of Virginia

  Master’s Degree, Data Science

  2015 — 2016

• William & Mary

  Bachelor of Science (B.S.), Neuroscience

  2006 — 2010

Skills

• Data Mining
• Research
• Hadoop
• Microsoft Office
• R
• Matlab
• Exalead
• Agile Methodologies
• Qlik Sense
• Python
• Data Analysis
• Data Science
• Sql
• Machine Learning
• Sas
• Tableau
• Statistical Modeling
• Vba
• Kdb+
• Statistics
• Apache Spark
• Matplotlib
• D3.js
• Scikit-Learn
• Amazon Web Services (Aws)
• Powerpoint
• Microsoft Excel