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As a Quantitative UX Researcher at Google, I contribute to advancing user-centric design by leveraging over eight years of expertise in psychology, statistical modeling, and causal inference. My work focuses on deriving actionable insights from experiments and surveys to enhance product experiences and inform key business strategies. Proficient in tools like R, Python, SQL, and advanced machine learning frameworks, I enable data-driven decision-making across multidisciplinary teams. Previously, as a Behavioral Scientist at Vanguard, I collaborated on initiatives to optimize user engagement through behavioral insights and evidence-based methodologies. My commitment to clear communication is reflected in my ability to present complex findings through compelling data visualizations, empowering stakeholders to make informed decisions. Dedicated to understanding user behavior, I aim to bridge the gap between data and design, driving impactful outcomes in dynamic environments.
Advancing user-centric design by leveraging expertise in psychology, statistical modeling, and causal inference. Deriving actionable insights from experiments and surveys to enhance product experiences and inform key business strategies.
Collaborated on initiatives to optimize user engagement through behavioral insights and evidence-based methodologies. Presented complex findings through compelling data visualizations, empowering stakeholders to make informed decisions.