Software Developer in Iowa City, IA, United States

Developed a Django web application that allows dropshippers to list items from one platform to another. The app updates the prices of listings to ensure profit is made at time of sale and tracks the orders made. I built the entire back end and used Django to create a simple UI.

Created a JavaFX app that allows users to find products to drop-ship between competing eCommerce platforms. I wrote the front end and back end. I also used a combination of third-party APIs to provide most of the necessary data.

Developed a Calendly data tap compatible with a Singer ETL specification. It allows users to access their data with the Calendly API and integrate with the Singer ETL platform. I set it up so users can run the tap and pipe the results to any number of Singer.io platform targets, CSV, BigTable, PostgreSQL, etc.

Created a JavaFX app that allowed users to track the rankings of their Airbnb properties across different search queries. I used the Airbnb website private JSON API to fetch results, displayed in an easy-to-read table format, and allowed for results to be exported to a CSV file.

A Django web application that allows medical study participants to submit responses to questionnaires. Also features a portal and dashboard for study administrators to create custom questionnaires and view participants' responses, as well as audio recording and saving for questions that require an audio submission.

A Flask and MongoDB-based web application that extracts a user's Canvas profile from the Canvas LMS API and stores it in JSON and document format in a MongoDB collection. Also features a Dash (based on Flask) visualization web application where the user can view statistics and graphs about their test scores and submissions. Docker and Docker Compose were used to containerize and launch the Mongo and Dash instances.

A client in the college sports industry needed a bot to visit a series of URLs on their website, export each page as a PDF, and email these PDF files to their website users. The "Save as PDF" functionality of their website allowed users to download college athlete scouting reports in a more easily viewable format on paper, which college athletic recruiters prefer. I used Selenium and a Python SMTP client to automate this process and meet my client's needs.

Used a Python requests library to automate login and data extraction of sports betting data on a large sports betting and fantasy data website. Data was loaded into a Pandas data frame, cleaned, and uploaded to a Google sheet. This automation pipeline ran hourly to ensure the client's sheet stayed up to date.