I am a Senior Data Professional specializing in transforming complex challenges into measurable operational improvements. With experience spanning government agencies and Fortune 500 enterprises, I bridge the gap between data science and business strategy to deliver impactful solutions.
- Design and implement large-scale data architectures.
- Develop machine learning models for real-world applications.
- Drive data-driven decision-making across organizations.
- Lead high-performing technical teams.
- Deliver enterprise-wide data strategies.
- MEng Computer and Electrical Engineering (2025) - Dartmouth College
- MS Analytics (2022) - Duke University
- PhD Business Administration (2017) - Oklahoma State University
Currently leading data science initiatives, where I:
- Led ML/AI projects resulting in $1.2M cost savings.
- Directed multi-national data strategy implementations.
- Led rapid-delivery data science teams across AWS-GovCloud infrastructure.
Previously at:
- Wells Fargo (Risk Modeling & Quantitative Forecasting).
- Defense Health Agency (COVID-19 Modeling & Enterprise Data Management).
- Valdosta State University (Management & Quantitative Methods Research).
mindmap
root((Core Skills))
Cloud
AWS GovCloud
Azure
Google Cloud
Databricks
Programming
Python
C
Golang
C++
R
SQL
SAS
Big Data
Apache Spark
Data Architecture
ETL Pipeline Design
Machine Learning
Predictive Modeling
Risk Analysis
Quantitative Forecasting
Version Control
GitHub
CI/CD
- Led 35+ completed data science projects in 8 months.
- Developed models managing billions of monthly transactions.
- Directed 50+ FTEs across international data science initiatives.
- Published researcher with proven economic impact.
- Track record of innovation in healthcare data analytics.