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Developed predictive models like ARIMA and logistic regression to analyze market trends and forecast movements. Employed statistical techniques like moving averages for trend insights and binary outcome predictions in financial analysis.
This project utilizes time series forecasting models, such as VAR and ARIMAX, to predict the bike share demand in Seoul. In turn, ensuring availability and minimizing waiting times for customers.
My bachelor's and master's theses