Responsible for developing and maintaining the data and reporting infrastructure. This platform leverages Tableau, SQL, Civis Analytics, and others to provide real time insights for our partners of the organization. My role involves analyzing the nearly 1 million contacts reaching out to The Hotline’s services every year and working with multiple teams to give high confidence predictions and data driven solutions for improving our reach to the communities.

I am excited to embark on my first internship with the Retirement Service Center of Willis Towers Watson! I will be improving my professional development as well as creating a mock-pension plan for a company through the use of Quantify software and statistics.

We are using the 3D Hubble Space Telescope Survey data to discover what emission lines we will be able to detect when the James Webb Space Telescope launches. We aim to see Paschen-alpha emission lines, which gives insight for the Star Formation timelines of galaxies in the extra-galactic universe.

Worked on finding extreme high-redshift galaxies from the 3D-HST Survey. Used Bayesian statistics to computationally and systematically removed false positives from the sample.

"Modeling the Star Formation Rate of the Andromeda Galaxy"We use Prospector, a python-based program that incorporates Bayesian Statistics, to model Spectral Energy Distributions (SEDs) of observational Hubble Space Telescope Data. From these SEDs, we can extract information about stellar population parameters for Andromeda.