It Associate - Test Engineer. UTC Alumni.
Hello! I'm Summer Olmstead, a recent graduate from The University of Tennessee at Chattanooga with a Bachelor's degree in Computer Science: Data Science and a minor in Economics. Currently, I work as a Test Engineer, leveraging Selenium and Java to develop automated test scripts, while also performing manual testing to ensure software quality. I'm always eager to connect - feel free to reach out via email or LinkedIn!
• Automated regression, smoke, and functional test suites for salesforce web applications using Java and Selenium.
• Designed and implemented robust, maintainable, and reusable test frameworks using Java and TestNG/JUnit.
• Integrated test scripts with Maven/Gradle for build management and Git for version control
• Proficient in using Java for developing automated test scripts in Selenium WebDriver
• Developed in Page Object Model (POM) framework for scalable test automation
• Proficient in using SOQL (Salesforce Object Query Language), a SQL-like language used to query Salesforce data for testing and debugging purposes.
• Gained foundational HTML skills through college web development projects.
• Read and interpret HTML structure to create accurate XPath expressions for locating elements in automated UI tests.
• Used for styling in front-end college projects to build responsive interfaces.
• Familiar with CSS selectors and attributes, used extensively for element identification in Selenium test automation.
• Used JavaScript to build Excel macros during internship at Unum, automating repetitive tasks.
• Comfortable writing JavaScript functions for test automation purposes, such as interacting with hidden DOM elements or triggering UI events in Selenium tests.
• Utilized with libraries such as Pandas, NumPy, and Matplotlib, and used machine learning packages like Scikit-Learn for model development.
• Proficient in navigating Salesforce to manage queues, track service requests, and utilize dashboards for data analysis and reporting.
• Experienced in leveraging Salesforce CRM tools to streamline workflows, improve operational efficiency, and support customer service teams.
• Skilled in using Salesforce data to validate test cases and troubleshoot issues within the Quote Assist AI model interface.
• Familiar with SOQL (Salesforce Object Query Language) for querying and verifying Salesforce data as part of quality assurance processes.
Skilled in advanced functions like pivot tables, VLOOKUP, and macros for data automation.
Skilled in performing advanced statistical analysis, including linear regressions and data manipulation, primarily through coursework in Economics.
University of Tennessee at Chattanooga B.S. Computer Science: Data Science, minor in Economics | May 2025
• Institutional GPA: 3.767, Dean's List Awardee & Magna Cum Laude Graduate
Economics Club Member | August 2024 - May 2025
NSF ADACE | January 2024 - May 2025
• Participated in AI research funded by the National Science Foundation at UTC.
Company: Unum
Hybrid: Chattanooga, TN Office
Duration: June 2025 - Present
• Developed and maintained Selenium-based UI automation scripts in Java to validate Quote Assist AI model interfaces, improving regression test efficiency and reducing bugs in production.
• Performed manual exploratory and regression testing on AI-powered UI features, ensuring consistent functionality and usability across sprint releases.
• Used Rally to track user stories, test tasks, and defect tickets, ensuring timely delivery and traceability of QA efforts.
• Provided detailed defect reports with reproduction steps, logs, and screenshots to aid developers in debugging issues within the UI.
Company: Unum
Hybrid: Chattanooga, TN Office
Duration: May 2024 - June 2025
• Managed HRC Integration/Onboarding, Eligibility File Feed, and Non-HRC Client Queues, prioritizing FIFO logic and utilizing dashboard analytics for case assignment process.
• Enhanced the Case Assignment Manual Process by adding logic and checkpoints, improving efficiency and time management.
• Created Email Generator Excel Macro using JavaScript to automate the process of email outreach depending on case criteria.
• Exceeded expectations during Case Assignment Busy Season and Data Entry Projects, averaging 15-20 entries per hour (compared to the average of 12) during a database migration project.
Global Happiness Linear Regression: Data Analyst Project
Conducted an econometric analysis of the Gallup World Poll to model country happiness using the Ladder Score as the dependent variable. Identified and quantified the impact of six key factors — economic production, social support, life expectancy, freedom, absence of corruption, and generosity — on happiness across countries using linear regression. Achieved an R-Squared value of 82.8% and an Adjusted R-Squared of 82.1% in the final robust model, demonstrating strong predictive performance. Applied econometrics knowledge to explain global happiness trends and identify factors contributing to higher life evaluations across countries.
Loan Approval Logistic Regression: Programming Languages for Advanced Data Analytics Final Fall 2024
Developed a logistic regression model to predict loan approval decisions based on key applicant characteristics. Fine-tuned the model to identify and quantify the impact of each variable on the likelihood of loan approval or denial. Analyzed the data to uncover insights on the most influential factors driving loan decisions, improving the understanding of approval patterns. Achieved strong model performance and used the results to inform loan approval criteria and decision-making processes.
RateYourCity App: Social Media App for Travelers | Software Engineering Fall 2024
Developed a demo version for Chattanooga, allowing users to review, like, and favorite activities (ex. Hotels, Restaurants, Tourist Attractions). Served as Scrum Master, leading the team and coordinating sprints. Designed and implemented server layers, focusing on backend development. Created a MongoDB Atlas database to collect and manage user data. Developed user signup, login logic, and authentication in the middle layer. Implemented security measures to ensure safe data transfer between frontend and backend. Created rating and comment system feature for all objects.
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