Developed a RESTful API leveraging machine learning techniques to deliver solutions to customer issues in a more accurate mannerIntegrated the API with existing search systems to impact end usersCreated visualizations to display the effectiveness of the results being returned to end users

Implemented a job scheduling algorithm to minimize network congestion across datacentersThis optimization reduced network use between datacenters by over 90% for a specific, network intensive, type of jobAdded checksums to database restores so that clients can ensure the accuracy of the files being sent to themIncrease the frequency of, and reorganized certain types of logs to be more meaningful and allow for faster, more accurate solutions for clients

Developed a data capture application over a six week period to ensure stock of the correct merchandise based on customer decision making rather than solely on out of stock itemsCreated a tool to track progress in manufacturing departments to increase efficiency by decreasing the amount of time managers spent on reporting tasks each week by automating the reporting processAssisted with debugging of specific customer issues with the eCommerce website improving relations with customers by responding to their needs in a timely mannerDesigned web-based, real-time displays for the distribution department, allowing them to see which orders need to be filled when, thus decreasing the number of late shipments