Software Engineer @ Impact Business Technology | UConn School of Computing Alumni ‘24
I am a recent graduate from UConn’s College of Engineering’s School of Computing with a Bachelor’s Degree in Computer Science as well as a concentration in Software Design and Development. As a problem solver, I look forward to my next opportunity to share my knowledge and skills while working on real world problems!
· Built a Python-automated version of a manual process that tracked dollar savings related to decommissioned applications
· Saved thousands of dollars in company resources each month by drastically reducing the amount of time employees spend doing data retrieval/reporting from one week to under two minutes
· Finished program expected to result in $65 million in savings for the company in 2023 alone
· Created a program within Python to filter relevant data retrieved from company APIs and automated the updating of SQL database information using Pandas and NumPy, eliminating the cumbersome process of using VLOOKUPS to cross-reference more than a dozen Excel spreadsheets
· Created visually appealing and interactive reports and dashboards using Microsoft Power BI, retrieving data from Microsoft SQL Server database
· Used Broadcom Rally to record documentation including task delineation, UML diagrams, and project expansion areas, and to provide roadmap for future onboarding engineering teams for additional enhancements
· Participated in biweekly virtual presentations to a panel of mid-to-high level executives detailing team’s project
· Based on program’s functionality and ease of use, was asked to present completed project to UnitedHealth Group’s Chief Information Officer
· Functioned as unofficial group leader, enforcing Agile methodologies, and keeping team of five interns on track to provide deliverables on time by scheduling, coordinating, and acting as liaison with stakeholders at all levels of the organization and by maintaining a positive team moral
· Completed 10-week software engineering internship for behavioral health division of Optum
· Used Python and SQL to develop a program that processed and interpreted over 30,000,000 claims, resulting in a runtime 10x faster than the initial production code
· Worked in a team of five interns using Agile methodologies to update, modulate, and translate over 1,800 lines of code from SAS to Python to allow for code automation with integration into the company’s cloud computing platforms, and to provide easier onboarding for future engineers
· Participated in biweekly presentations to a panel of mid-to-high level executives detailing the team’s progress
· Received a 5 out of 5 overall evaluation by managers at end of internship performance review, based on technical skills, professional demeanor, and learning & performance