To ensure the accuracy and relevance of the information I gather during research, I follow a structured approach. First, I only use credible sources—such as peer-reviewed journals, government databases, or verified institutional reports. I cross-check data across multiple sources to confirm consistency and flag any discrepancies. For accuracy, I carefully document where each data point comes from and validate it through timestamps, author credentials, and dataset integrity (checking for duplicates, missing values, etc.). For relevance, I stay aligned with the research objective—regularly asking, “Does this directly support our goal or insight?” Staying organized through tracking sheets or source logs also helps maintain transparency throughout the process.

Yes! I conducted research on healthcare practitioners as part of a data-driven project focused on healthcare accessibility and provider performance. My role involved collecting and organizing practitioner data from sources like the National Provider Identifier (NPI) Registry, public health databases, and healthcare system directories. I cleaned and standardized the data using Excel and SQL, ensuring consistent formatting for names, specialties, and locations. I then analyzed trends such as provider availability by region and specialty shortages. One key insight showed a gap in mental health professionals in rural areas, which supported recommendations for targeted resource allocation. This experience strengthened my skills in data validation, healthcare terminology, and turning raw data into actionable insights.

Fun fact: I can sing almost every word to a 2000s throwback playlist—and yes, I treat every shower like a concert! 🎤✨