• Provided expertise in data analysis, data visualization, research, analytical writing, and object-oriented programming.
• Used software and programming languages such as R/RStudio, RShiny, Rmarkdown, SQL, Python, Unix/Linux, and AWS Cloud Resources. 

PatientsLikeMe is a for-profit patient network and real-time research platform. 

• Designed and implemented repeatable analytic solutions, using a combination of R, Python, SQL, and Amazon AWS Cloud Resources.
• Worked cooperatively, designed project plans, determined scope, and executed on desired outcomes.
• Designed dashboards to reveal data insights, including interactive visualizations.
• Advised project teams on what data is available and the limits on what the available data can used for.

PatientsLikeMe is a for-profit patient network and real-time research platform. 

• Performed quantitative analysis of patient generated health data, including patient reported outcome measures, survey data, and other health related data.
• Applied descriptive, comparative, and basic regression methods to answer key questions.
• Independently executed project plans and SOW’s, moving projects from inception to delivery.
• Created deliverables (e.g., PowerPoint, dashboards, written reports, etc.) to communicate project results to relevant stakeholders.
• Automated reporting systems of patient reported health data using R/RStudio and SQL (Postgres).

PatientsLikeMe is a for-profit patient network and real-time research platform. 

• Performed descriptive data analysis and visualization.
• Created analysis ready data sets, using multiple data sources.
• Provided training, oversight, and support to junior research staff.
• Coded, QA tested, and fielded health related surveys to communities of patients online.
• Performed preliminary analysis of survey data.
• Performed preliminary literature reviews (i.e., PubMed, GoogleScholar, etc.) to inform survey development and analysis.
• Triaged patient feedback and concerns regarding surveys.

Minors in Philosophy and English.