Hey there! I'm a Data Analyst who's worked with everything from 65K+ public health records to 1M+ child protection files—building systems that improved reporting by 40%, cut service delays by 26%, and boosted tracking efficiency by 50%. Whether predicting healthcare demand in Boston, creating child welfare advocacy tools, or building travel safety analytics, I turn data into human stories that support equity and well-being.
DATA ANALYST
My journey into data analytics started with a simple belief: numbers should serve people. Over the past three years, I've worked with organizations where data directly impacts lives—from analyzing 1M+ child protection records at KARA to flag high-risk situations, to processing 65K+ public health records in Boston to ensure communities get the care they need. At IpserLab, I'm building analytics for an AI travel platform that prioritizes safety and accessibility for vulnerable travelers, creating systems that help reduce travel anxiety for women, LGBTQ+ individuals, and solo adventurers.
What drives me is discovering the human story in the data. Whether I'm using SARIMA forecasting to predict healthcare demand, building Power BI dashboards to identify community health gaps, or developing predictive models with 91% accuracy to prevent supply shortages, I'm always asking: how can this insight make someone's day better or safer? My work has improved interventions by 25-40% across organizations, but the real reward is knowing that behind every improvement, there are real people receiving better care or finding support when they need it most.
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