? Developed automated Newsvendor Model that performs Monte Carlo Simulation to discover impact on estimated profit using Python through object-oriented programming, saving 70% of testing time ? Performed A/B testing for different algorithms and selected significantly better algorithm ? Implemented new algorithm to estimate optimal order quantity given sample data, reducing over 90% in residue ? Explored time delay between sewage flow and rainfall by Pearson’s correlation with 97% accuracy using Python ? Developed Random Forest Model to select important variables and to estimate the energy consumption of the pump to help client develop better pump policy for energy saving, with out of bag accuracy of 83% ? Led and presented weekly review meeting with clients and provided them with a set of new operating policies ? Developed a web scraping program to extract information related to mobile games and social media video app industries using Python’s Beautiful Soup package, collecting more than 10 giga bytes of data ? Identified target market segments of social media video app by factor analysis and K-Means clustering using R ? Created data visualization for dashboard of KPI reports using Tableau ? Communicated with hospital weekly to track clients’ demand for the model ? Classified patients’ type with decision tree model with 79% accuracy using Python scikit-learn package ? Predicted when patients would enter ICU with Random Forest Model achieving residue less than 30 minutes