About

I am an Applied Scientist at LinkedIn (ex-Amazon) with 8+ years of experience designing and scaling data science systems for high-stakes decisions in product, finance, growth, and operations.

Current Focus

  • Interpretable forecasting pipelines for long-term impact and resource planning
  • Causal inference ecosystems combining experimental and observational data
  • Scalable decision systems for engagement, revenue, and operational strategy

Methods and Domains

  • Causal inference: DML, heterogeneous treatment effects, synthetic control, switchback, diff-in-diff, and A/B testing
  • Forecasting: strategic, operational, and causal forecasting with ML + econometrics
  • Economics: digital platforms, pricing, incentives, ads, and budget allocation

Tooling

  • Python, SQL, TensorFlow, scikit-learn, statsmodels
  • EconML, DoWhy, Nixtla
  • Flyte, SageMaker, Tableau

Profiles