GGBN Data Portal Samples
A map of genetic resources provided in the Global Genome Biodiversity Network Data Portal.
Thanks for checking out my work! Below are some data analyses I've completed, some example reports I've written (and automated!), some data-based web applications I've created, and some talks and presentations I've given.
If you'd like to learn a little bit more about me, my work background, and my current educational pursuits, you can scroll down to the About Me section. And if you'd like to get in touch, feel free to contact me via LinkedIn.
A map of genetic resources provided in the Global Genome Biodiversity Network Data Portal.
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A web application written with the R Studio Shiny framework that queries static inventory lists for user-specified scientific names.
A website written with the Django framework, featuring two Python-based applications that live query website APIs for user-specified scientific names.
Talk at the Smithsonian Institution, walking attendees through a tutorial for creating simple maps in R using open-source GIS packages.
Talk at the Smithsonian Institution for the Girls Who Code program, walking high-school students through the basics of querying endangered species data from the IUCN Red List database API with Python
Talk at the Smithsonian Institution, walking attendees through a tutorial for creating a simple Shiny application from a tabular dataset.
I am a former data analyst for the Smithsonian Institution, where I specialized in the analysis of museum collection data, genetic sequence data, and biodiversity data for the Smithsonian Global Genome Initiative. Our program used these analyses to strategically target the collection and acquisition of families of life on Earth, and at the conclusion of our program in 2022, we had 50% of all life preserved on ice for future genomic research.
I am now a part-time graduate student at Georgia Tech, where I am pursuing a Master of Science in Analytics. My coursework includes machine learning algorithms, regression analysis, optimization, data visualization, business analytics, and other forms of analytical modeling. I'm currently working on a project where I am applying ML models on collections of designed objects at the Cooper-Hewitt Design Museum to find patterns in visitor preferences and behavior.
In my spare time, I am a certified Data Carpentry instructor, and I have taught introductory data skill workshops (Python, R, SQL, OpenRefine, and command line) to hundreds of students at the Smithsonian Institution and the National Institutes of Health. I also organized a series of monthly "community chats" focused on different topics in data, with the goal of building a community among local data practitioners.
I love working with data, I love teaching data skills to others, and I love contributing to the shared knowledge of the world. I am looking to join an organization in a remote position or in an in-person position in the Washington DC metropolitan area. Please take a look at some of my previous work, and if you think I might be a good fit for your organization, please get in touch!
Please feel free to reach out to me on LinkedIn, or use the form below to send me an email.