Senior Lead Data Scientist at Booz Allen with 10+ years in analytics and decision science. I specialize in experimentation and A/B testing, causal inference, machine learning, and executive dashboards, with work spanning marketplace optimization, fraud analytics, and federal data governance (co-author of an FDA white paper). Stack: Python, SQL, Snowflake, Databricks, Microsoft Power BI, Tableau. MS Business Analytics (George Washington University); dual BS in Computer Engineering and Electrical Engineering (NC State). Open to remote Data Scientist, Data Analyst, and BI roles — contract or full-time, 2-week notice.
Lead data science across experimentation, ML, and executive reporting. Designed delivery-eligibility experiments driving 1–2% relative lift; built ML/NLP models over 200K+ submissions as FDA Tiger Team lead (co-authored white paper); fraud and synthetic-identity analytics closing ~18,000 fraudulent accounts; executive Power BI and Tableau dashboards; Snowflake, Databricks, Python, SQL. 2024 BEYA Science Spectrum Trailblazer Award.
MS Business Analytics
BS Computer Engineering, BS Electrical Engineering
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