Hello, welcome to my GitHub! You can view my projects and resume here.
I am an epidemiologist-turned-data-scientist. I have a passion for applying data science technologies to improve health! My background in epidemiology has equipped me with a deep understanding of disease dynamics, real world evidence (RWE), mathematical and statistical modeling, and clinical research. I enjoy communicating these domains to diverse audiences (lay people, researchers, and clinicians) via compelling data storytelling.
Please feel free to connect via LinkedIn!
www.linkedin.com/in/kameela-noah-mph-920033187
Emory University | Master of Public Health, Epidemiology
2020 - 2022
Global Field Experience Financial Award Recipient
Stetson University | Bachelor of Science (Honors College), Molecular Biology
2017 - 2020
Presidential Scholarship Award Recipient
Data Consultant
PCI - Government Services
Aug 2024 - Sep 2024
Atlanta, GA
- Partnered with a team of 6 data scientists to analyze client needs and develop high-quality spatial data visualizations, contributing to a manuscript currently pending publication.
- Met with 2 senior data scientists to understand scope of business problem; collected and presented data from 3 data sources to support data mining initiatives.
Data Analyst & Epidemiology Fellow
Centers for Disease Control and Prevention
May 2022 - May 2024
Atlanta, GA
- Conducted statistical analysis on 26,233 clinical observations using SAS, determining the impact of antiviral treatment timing on mortality through descriptive statistics and logistic regression models, which culminated in a published paper.
- Supported development of a Naive Bayes classifier through careful literature review and hyperparameter tuning in R, improving machine learning model accuracy by 15% for influenza forecasting.
- Achieved a 30% reduction in data management time, by developing scalable ETL scripts In R, SAS, and SQL to prepare relational databases of 110,000 observations for statsistical analysis.
- Developed and maintained 2 PowerBI dashboards to present complex data insights to diverse audiences, including public health leaders and industry stakeholders.
- Led team data modernization initiative, training 3 team members in Git and R programming weekly, and transitioning data to a cloud-based infrastructure over 4 months.
- Ensured data integrity and adherence to compliance standards through robust documentation of code and analytical processes.
- Mark W Tenforde, Kameela P Noah, et al., Timing of Influenza Antiviral Therapy and Risk of Death in Adults Hospitalized With Influenza-Associated Pneumonia, Influenza Hospitalization Surveillance Network (FluSurv-NET), 2012–2019, Clinical Infectious Diseases, 2024;, ciae427, https://doi.org/10.1093/cid/ciae427