I am a curious, solution-oriented Data Scientist seeking to assist end-to-end decision making. After earning a degree in Computer Science at the University of Georgia, I used my programming skills at Griffin & Strong where I communicated with experts who specialize in Disparity Studies, automated their analysis, and tailored a unique data pipeline for four different governments. The final analysis now serves as a legal factual predicate. I currently work at Guidehouse where I consult with the Center of Medicare and the NIH supporting a variety of their data and automation needs.
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Guidehouse, Data Scientist |
Jan. 2021 - Current
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Supports data analytics and compliance oversight for the Center for Medicare and Medicaid Innovation's Kidney Care Choices model
Supports statistical programming for the Surgeon General's Oral Report
- Consults with clients from a variety of backgrounds and helps articulate their software needs
Gathers requirements and translates ETL needs of clients creating dashboards to drive decision making
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Griffin & Strong P.C., Data Scientist |
May 2020 - Jan. 2021
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- Leads efforts to take on time consuming and costly problems using automation and machine learning
- Creates ETL pipelines for reproducible transformations of data
- Standardizes operating practices for efficient and validated research
- Mentors junior analyst in improving their analysis process
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Griffin & Strong P.C., Data Analyst |
Nov. 2018 - May 2020
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- Performs multifaceted analysis on collected data from governmental organizations
- Translates research methodology into software and adapts models to each organization's constraints
- Isolates data gaps and anomalies and cleans data for reproducible analysis
- Communicates with clients to collect data and present findings
| Disparity Analysis |
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The completed disparity analysis of the City of Chattanooga, City of Frederick, Cuyahoga County, and Mecklenburg procurement data. The analysis is meant to serve as a factual predicate for proposed policy changes and inclusion programs. This includes everything from data collection to analysis. The findings were then presented to stakeholders within these organizations.
| Data Profiler |
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A Python software allowing non-programmers to take advantage of the open-source "pandas-profiling" library which creates comprehensive HTML summaries of raw data files. This summary includes data warning, missing values, and correlations. The front-end was built using PyQt and can run on any operating system.
| Equity Lib |
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A open-source Python library containing pre- and post-processing algorithms for wrangling common problem patterns in Excel files. The primary problem solved is resolving entities in joined data systems and traceability of rule based decisions.
| Forecasting Avocado Prices |
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| PASSNYC: Data Science for Good |
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| University of Georgia |
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