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As a Lead Associate – Data Scientist and Researcher at Booz Allen Hamilton, I specialize in architecting cloud-native, AI-powered data platforms that improve outcomes in public health, life sciences, and government sectors. With over a decade of experience, I combine data engineering, ML infrastructure, and strategic leadership to deliver systems that scale. My recent work includes: • Leading cloud and data ingestion teams for supply chain analytics • Architecting federated analytics systems to support real-world evidence generation • Executing multi-account AWS data migrations and building pipelines with AWS Glue, PyDeequ, Great Expectations, and Pytest • Enhancing data quality, ML deployment success, and regulatory compliance (HIPAA, FDA, etc.) With training in biostatistics, biomedical sciences, and computer science, I bring a unique lens to healthcare data challenges — from EHR integration to anomaly detection and cloud transformation. I’m committed to mentorship and inclusive leadership. I’ve led Women in AI initiatives, organized leadership panels, and championed programs to elevate underrepresented voices in technology and data science. I’m always open to connecting with professionals and organizations working at the intersection of: • Healthcare and cloud transformation • AI/ML and data engineering at scale • Building analytics pipelines in regulated or high-stakes environments If you're scaling data science or ML infrastructure in complex domains, I’d love to connect and collaborate.
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