Call Report SQL Database and R Shiny Application

Languages: SQL and R
I created a user application to make publicly available Call Report Data (financial statements from banks and financial institutions) more easily accessible. I created a SQL database to store the data and staged it in different tables. Then, I built an R Shiny Application allowing users to easily query, graph, and analyze the data.

Exports Forecasting

Languages: Python and HTML
I imported and cleaned data from over a dozen sources. Then, I modeled export volumes by metropolitan statistical area (MSA) using several different models. Finally, I created a Flask App user-interface to allow users to interact with the models and estimate export volumes for different MSAs.