Data Scientist by Training. Product Manager by Trade.

Led the CX Data & AI team delivering scalable data products that unified customer insights across support, social, and app ecosystems. Launched WBD's first AI knowledge assistant for CX Advocates, saving $2M annually, and owned an LLM classification system delivering $1.5M in operational savings.

Built the core data engineering infrastructure for an early-stage AI-insights platform analyzing biotech financial documents for institutional clients. Designed a graph-based extraction engine and AWS cloud infrastructure with Dagster-orchestrated pipelines, while shaping the investor narrative and 12-month product roadmap.

Led full-stack BI and data infrastructure implementation for a B2C client using Looker, GCP, and Airflow, enabling a 285% increase in annual subscription revenue to $100M+. Built churn and LTV prediction models and drove $1M+ in revenue for Das42 by securing three contract extensions.

Built automated data pipelines aggregating 25+ alternative sources and NLP pipelines processing 100K+ daily posts for sentiment modeling. Designed quantitative clustering systems using PCA, DTW, and KMeans to identify correlated asset groups and surface early indicators of portfolio company performance.