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Overview: Developed a statistically significant regression model that predicts a car's fuel economy (in mpg) given a car's weight, with a MAE of 3.3 miles per gallon.
Overview : Developed a simulation model that allows the optimization of a given queuing system (i.e, a car wash line, a fuel station, parking lot, etc). Providing decision support about scheduling staffing and queue system design given certain demand and service rate.
Overview: Created a tool that estimates whether a patient will show or not at a scheduled medical appointment (Accuracy=0.75%) to give a better understanding of why the patients would miss an appointment and provide information to clinical facilities for improving efficiency and productivity.
Overview : Developed an app using python, that requests data from google and outputs a conversion equivalent given the user's input. Works with physical units, currency and cryptocurrency.