Experience

I build data science systems that connect causal inference, experimentation, and forecasting to guide business decisions at scale.

Recent Roles

Applied Scientist, LinkedIn

• Build and scale forecasting and causal inference systems for product and growth decisions
• Partner with cross-functional teams to evaluate downstream effects of features and strategy changes
• Translate model outputs into clear decision recommendations for leadership

Data Scientist / Applied Scientist, Amazon

• Developed experimentation and forecasting workflows in fast-paced operational environments
• Supported decisions related to growth, marketing effectiveness, and financial outcomes
• Operationalized modeling outputs into production decision processes

Core Strengths

• Causal inference with experimental + observational data
• Forecasting infrastructure design and model integration
• Decision-focused communication with technical and business stakeholders