I turn research questions and organizational problems into transparent statistical analyses. The goal is not simply to produce coefficients, but to select defensible methods, test assumptions, explain uncertainty, and translate results into conclusions that decision-makers can use.

What this work helps you achieve

  • A clean, analysis-ready dataset
  • A model that fits the question and data structure
  • Reproducible results with appropriate diagnostics
  • Interpretation that separates evidence from speculation

Typical deliverables

What you can receive

  • Descriptive and inferential analysis
  • Regression, panel, and time-series models
  • Causal inference and impact evaluation
  • Forecasts, diagnostics, and robustness checks
  • Technical results tables and plain-language interpretation

Tools & technologies

Selected toolkit

  • R
  • Stata
  • Python
  • MATLAB
  • SPSS
  • SQL
  • Excel