This website serves a source for my collection of work/projects that people and employers can access to learn more about my skills/knowledge as an applied mathematician, data analyst, and student. If you have any questions or comments for me, please send a message using the contact page.
Developed a simulation of a dark room with obstacles using python. Then, used reinforcement learning to train an agent to learn where the obstacles are in the room.
Developed a variation to the competitive predator-prey model for the interactive species; Alaskan brown bears and pacific salmon. Used Regression analysis to infer on and predict river temperatures in Alaska. Incorporated these models to predict the effects of climate change on the brown bear and salmon populations.
Constructed a machine learning model using random forest, linear regression, lasso regularization, and k-fold cross-validation to predict if a passenger on the RMS Titanic survived the sinking of the ship or not.
Implemented a machine learning model to predict resident property prices in Taiwan given specific details features of the properties and sales prices of properties sold in the past. LASSO and RIDGE regression were utilized to minimize RMSE while applying a root transformation on the response variable.