Ting Da introduces a comprehensive three-stage pipeline combining machine learning for variable selection, post-double-LASSO for control determination, and OLS regression for causal inference in educational data. This method tackles omitted variable bias and improves academic performance predictions, offering reliable techniques for advanced educational research.