Tatsuhiro Shimizu

Research on Counterfactual Learning, which is an Intersection of Reinforcement Learning and Causal Inference with Yuta Saito and Professor Yusuke Narita

Research on Counterfactual Learning, which is an Intersection of Reinforcement Learning and Causal Inference with Yuta Saito and Professor Yusuke Narita

GPA 3.96/4.00 Top 1/863

GPA 3.95/4.00 Top 5%

Won the 2nd best prize where more than 90% of participants were graduate students. Using the DID and SCM, estimated the causal effect of remote work on the performance of the workers

• Analyzed the market and competitors of selected chain stores using data from a comprehensive consumer survey on the lifestyle, consumer behavior, and media exposure by R • Narrowed down advertising target based on the characteristics of the selected ch