Projects
2 applied, end-to-end projects
-
Customer Segmentation & Causal Targeting
2026An end-to-end analysis on the public Dunnhumby retail dataset — NMF + K-Means segmentation feeding meta-learner / Causal-Forest HTE and an OPE-validated targeting policy.
PersonalizationCausal InferencePythonscikit-learnEconMLCausal ForestNMFOptuna -
Causal Multi-Touch Attribution
2026A simulation study unifying Incremental·Shapley channel credit and a path-level decomposition on a single Inhomogeneous Poisson Process — answering channel budget, journey design, and population causal effect under one efficiency identity (18-method benchmark, ground-truth MAE 0.016,
Causal InferenceDecision-Making under UncertaintyPythonstatsmodelsNumPy/pandasPoisson GLM (IPP)Shapleymatplotlib