Tatsuhiro Shimizu

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

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

GPA 3.96/4.00, Valedictorian Relevant Coursework: Causal Inference, Machine Learning, Linear Algebra, Multivariable Analysis, Database, Logic, Statistics, Data Science, Game Theory, Networking Technology & C/C++ Programming

Grade: GPA 3.95/4.00Grade: GPA 3.95/4.00 Relevant Coursework: Causal Inference, Machine Learning, Natural Language Processing, Reinforcement Learning, Vector Analysis, Integration on Manifolds, Discrete Mathematics, Differential Equations & Data Structures

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