Connor is a Python Developer writing code for new products, software components, and web applications for 5+ years. He creates, designs, implements and maintains applications in the appropriate environment - troubleshooting and identifying root causes of complex technical issues on projects. He anticipates challenges, mitigates risks, tracks and monitors industry trends and utilizes best practices in solving problems on solutions.
Built and deployed a reporting pipeline solution that takes all of the assets at the bank and runs aggregations and manipulations to provide a single number that is at risk if there was a severe economic event. Implemented batching solutions to process more than a TB of data with significantly less available RAM.
Designed, built and implemented the entire cloud-based data processing pipeline on the project - implementing automatic triggers and microservices to take the data, preprocess it and map in ways customers can easily understand. Utilized GCP App Engine, Postgresql database, and GCP Cloud Functions on the project.
Worked on a machine learning model that was an ensemble of 5 different models with laborious runs during production. Improved inefficiencies in the codebase, reduced runtime by 80% and improved accuracy on the overall model.
