Senior Data Scientist with 11+ years of experience applying machine learning, statistical modeling, and data-driven experimentation to solve complex problems across fintech, education, and civic technology domains. Proven expertise building predictive models, designing data pipelines, and deploying ML systems at scale, with a strong background in LLM-powered applications, feature engineering, and data analysis to deliver measurable improvements in performance, automation, and decision-making.
Experienced in designing end-to-end analytics workflows for large-scale voting and transactional datasets, developing predictive analytics to simulate system performance under varied load scenarios, and implementing ML-based monitoring/alerting to reduce incident detection time. Also has experience across finance fraud detection and anomaly classification, and building recommendation/ranking systems and predictive personalization models to improve engagement, discovery, and product metrics.
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