Natalie Brooks

Clients: Kaiser Permanente, National Grid

• Analyzed backend IVR system data (CSS, CRIS) to identify software defects, model test outcomes, and support production readiness.
• Designed and automated test frameworks for large-scale system validation, integrating statistical logic to optimize test coverage.
• Led regression testing and automation for National Grid’s 2022/2023 IVR releases, ensuring robust performance across high-volume environments.
• Authored technical reports summarizing defect patterns, system metrics, and QA outcomes for internal and client stakeholders.

• Developed and maintained a Power BI dashboard integrating operational KPIs and performance metrics to support data-driven decision-making across departments.
• Automated data pipelines using Power Automate to streamline reporting workflows and reduce manual overhead.
• Conducted statistical analysis and trend monitoring to evaluate system efficiency and inform financial forecasting.
• Supported cybersecurity initiatives through software and hardware vulnerability testing, ensuring compliance with national defense standards.

• Analyzed and tested 5G Network Slicing performances and configurations of different UE testing collected with the Open5GCore, iPerf, Amarisoft UESimbox, and Callbox technology.
• Developed a machine learning application using various Python deep neural networks, regression, and classification machine learning libraries to predict future consumer spending habits for the Institute of Systems Research.