Cusal Inference applied to timeseries, uses an event database to generate a timeseries of the outcome given a sliding window containing events. Useful to add causal outcomes of events into multivariate timeseries forecasting models.

Internship Project on Causal Inference (The causal effect of multi-level treatment of intervention using observational data).

Causal analysis to predict factors affecting employee resignation using the Causal Inference method on company datasets.