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Education
George Washington University, Washington, DC: 2013-2017
B.S. in Computer Science
Minors in Music & Statistics
Work Experience
Customer Value Partners, Fairfax, VA
Technologist - Health Care Quality Analytics and Reporting – Centers for Medicare & Medicaid Services (CMS): 2018-Present
- Architected several end-to-end data pipelines built on AWS EMR and managed by Apache Airflow to ingest large claims data sources (terabytes in size), optimize customer performance, and improve healthcare quality outcomes.
- Spearheaded creation of company-wide internal data library using the CKAN API.
- Applied robotic process automation (RPA) to automate the generation of health quality metrics from a large claims dataset.
- Led machine learning efforts to predict hospital readmissions among discharged patients.
AKALAKA: Durham, NC
Pro Bono Technical Advisor: 2021-present
- Automated and designed Medicaid waiver registration process for disability caregivers accessing a custom virtual training and support program offered by AKALAKA, an early-stage startup.
George Washington University, Washington, DC
Research Assistant, Department of Computer Science*: June-August 2017
- Utilized Vicon motion capture technology to identify biomechanical similarities between duetting dance performers; conducted correlational analysis in R.
ZoomRx: Cambridge, MA/San Francisco, CA
Analytics Intern Associate*: 2016
- Conducted statistical analyses of survey data for a healthcare research and analytics firm.
- Created in-depth statistical analysis tutorials for R packages (caret, ggplot, dplyr, tidyverse).
The World Bank Group: Washington, DC
Demographics Intern*: 2014-2015
- Leveraged Python and SQL to create a database profiling centenarians and supercentenarians and presented findings as part of The World Bank’s World Population Project.
Honors & Awards
American Statistical Association DataFest
Best Insight*: 2016
- Received “Best Insight” award in annual competition co-sponsored by Google and Pew. Utilized text mining techniques in R to optimize click-to-revenue conversion. Developed optimal advertising recommendations for machine-generated ads based on >1,000,000 rows of data.
CVP High Performer Award
3x Winner*: 2019, 2020, 2021
- Awarded to an individual deemed to have gone above and beyond the call of duty to support government agencies with innovative technical solutions.
Skills
Completed Coursework:
- Big Data and Analytics
- Regression Analysis
- Database Systems
- Algorithms & Data Structures
- Computer Graphics
- Software Engineering
- Artificial Intelligence
Languages & Algorithms:
- AWS (S3, EMR, EC2)
- Machine learning algorithms (random forest, k-nearest neighbors, regression, LSTM modeling)
- Python (Pandas, NumPy, Matplotlib)
- PySpark
- R
- Java
- SQL
- SAS
- Cloudera Hadoop
- C/C++
- GitHub
- MAYA
Certifications:
- SAS Certified Base Programmer for SAS 9