Nina Dicara is a data scientist with seven years of experience specializing in mental health data science research. She blends quantitative rigor with domain sensitivity to extract actionable insights from complex health datasets and advance evidence-based interventions. Known for bridging research and applied analytics, she often translates academic findings into practical tools for clinicians and policymakers. Although primarily research-focused, she maintains a curiosity for reproducible workflows and open science practices that improve transparency and impact.
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