
Detail-driven QA Engineer with strong experience in data validation, EMR system workflows, and compliance operations at UnitedHealth. Skilled in QA testing, SQL, Postman, Python automation, and structured documentation. Proven ability to identify defects, clean data, analyze requirements, and improve accuracy in fast environments.
• Validated medical records across multiple EMR systems to support HEDIS and Risk Adjustment programs
• Identified documentation gaps, performed QA-style reviews, and escalated defects
• Used Excel (v-lookups, pivot tables, filters) for data tracking, cleanup, and anomaly detection
• Verified provider documentation requirements and maintained detailed retrieval records
• Ensured 100 percent HIPAA compliance across secure FTP, lab portals, and registries
• Investigated data issues, confirmed access paths, and resolved retrieval errors
• Supported process improvements and automation opportunities
• Collaborated with cross-functional teams to ensure accurate data collection and audit readiness
• Designed phishing simulations, analyzed results, and documented findings
• Practiced secure data handling and threat analysis
• Strengthened skills aligned with QA workflows and defect tracking
• Gained experience with real-world vulnerability identification
Manual QA testing
Test cases, test plans, test execution
Defect reporting
SQL queries
Postman API testing
Python automation
Excel advanced tools
Jira, Agile
REST APIs
EMR systems
File validation
HIPAA compliance
Data cleanup
Problem solving
Phishing Detection System (Python, Scikit-Learn, Pandas)
https://github.com/yiggzzz/Final-Project-
• Built a supervised ML model to classify 11K+ URLs as legitimate or phishing using 87 engineered features.
• Processed and cleaned large datasets, extracting URL features for predictive modeling.
• Trained, validated, and evaluated multiple algorithms (Logistic Regression, Random Forest) for accuracy and recall.
World Weather Analysis (Python, OpenWeather API, Matplotlib, JSON)
https://github.com/KatieBellz/World_Weather_Analysis
• Developed an automated Python tool that retrieves and visualizes live global weather data from APIs.
• Created analytics dashboards for humidity, temperature, and wind patterns to support decision making.
• Demonstrated strong data automation and backend API handling in a production-like setup.