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Applied methods

Public notebooks demonstrating the methods behind the case studies and writing.

quasi-experimental-pricing

DiD, synthetic control, RDD, and ITS on a synthetic subscription pricing dataset, with LTV translation and breakeven price calculation.

Python Causal inference DiD

ai-adoption-selection-effect

Fuzzy regression discontinuity at a seat-count eligibility threshold, estimated by 2SLS with placebo cutoffs, bandwidth sensitivity, and a density check for manipulation.

Python Causal inference Regression discontinuity

llm-churn-reason-mining

Pipeline that extracts and categorizes churn reasons from unstructured text using weak supervision, transformer fine-tuning, and prompt-engineered LLM summaries.

Python Transformers LLM

transcript-analysis-pipeline

Three-stage LLM pipeline (extract, synthesize, audit) for decision-grade meeting analysis with explicit grounding and bounded fabrication controls.

Python LLM Evaluation