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Academic Projects: March 2021 – May 2021 1. Text Summarization (Natural Language Processing) Used T5 model to make abstractive summarization Compared SVM and logistic regression classify accuracy Used LIME to explain the words trending August 2020 – December 2020 2. Inmate prison and bias (Regression) Built the regression model to interpret the inmate data Explored US justice fairness or not 3. The price forecast for New York Airbnb (Business Insight) Used Linear Regression, Regression Tree methods to analyze price of Airbnb and find the best prediction model March 2020 – May 2020 4. US law enforcement assaulted data analyzed (Data Science) Used R Studio with Shiny app to visualize crime numbers change in the whole US or different states with the timeline. Used T-test statistic to prove that daytime and nighttime have different crime trends