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University of the Philippines Diliman
Electrical Engineering, MS• August 2017 - June 2020
Research on application of Data Modeling and Analytics in Engineering Education. Statistical Analysis and Machine Learning concepts were used in order to create a web platform capable of identifying factors putting students at risk of not graduating and predicting a students chances of graduation. Two Publications: 1. Student Risk Assessment: Predicting Undergraduate Student Graduation Probability Using Logistic Regression, SVM, and ANN - Published: 2021 IEEE Region 10 Conference (TENCON) 2. Identifying Factors Influencing Engineering Undergraduate Student Graduation in UP Diliman - Published: Philippine Engineering Journal 2022
University of the Philippines Diliman
Computer Science & Engineering, BS• June 2012 - July 2017
BS Computer Engineering - Cum Laude
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