Enrique J. Arrieta, III
StudentBSITBA - TB22
Caloocan, Metro Manila · FEU Institute of Technology
Personal Information
Short Biography
I'm Enrique Arrieta III, 21yrs old currently pursuing a specialized course in Information Technology with a focus on business analytics. I am in my second year of studies and my objective is to excel and acquire professional skills to able to compete with people in the IT Industry.
🛠️ Skills
Adaptability Skills
Beginner (60%)
Time Management Skills
Advanced (80%)
Communication
Advanced (80%)
Database Management (Oracle SQL)
Novice (35%)
Graphic Design (Adobe Photoshop, Adobe Illustrator)
Beginner (55%)
🎓 Educational Qualification
Tertiary · Aug 2022 - Present
Bachelor of Science in Information Technology
Business Analytics · FEU Institute of Technology
Tertiary · Sep 2020 - Apr 2022
Bachelor of Science in Business Administration
Marketing Management · Polytechnic University of the Philippines - Sta. Mesa, Manila Philippines
Secondary · Aug 2018 - Mar 2020
Mapua University
Secondary · Jun 2014 - Mar 2018
Caloocan City Business High School
Primary · Jun 2008 - Mar 2014
Jerusalem Christian Academy
👔 Work Experience
Seasonal • Jun 2023 - Aug 2023 (2 months)
Installer at ITRockstar
Technical Department
👨🏻🏫 Seminars and Trainings
Attendee
Research Journey: Motivation to Publication
Awarded by Educational Innovation and Technology Hub on November 07, 2025
View Credential
Attendee
Strengthening Community Engagement through Health and Disaster
Awarded by Polytechnic University of the Philippines on July 07, 2021
Attendee
Amplifying Youth’s Civic Role in Nation-Building through Community Education
Awarded by Polytechnic University of the Philippines on May 13, 2021
Attendee
CREOTEC TALK
Awarded by Mapua University on January 20, 2019
👥 Organizations and Memberships
FEU Tech Alliance of Information Technology Students
Member · November 15, 2022 - Present
Mapua University Sports Club
Logistics Committee · September 15, 2019 - March 15, 2022
CCBHS Barkada Kontra Droga (BKD)
Vice-President · October 15, 2016 - March 30, 2018
Research Publications
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Conference Paper · 10.1109/ACDSA67686.2026.11467769
Examining Purchase Intention Using Machine Learning: The Case of a Local Artisan E-Commerce2026 International Conference on Artificial Intelligence, Computer, Data Sciences and Applications (ACDSA), (2026), pp. 1-6
Local artisan products are essential in preserving cultural heritage and supporting community livelihoods. They contribute to e-commerce initiatives aiming to address sustainability through ethical consumption, reduced environmental impact, and inclusive economic growth. This paper examines the roles of various factors in online shopping intention of local artisan products. The data were collected through surveys and analyzed using various machine learning models such as Decision Trees, Gradient Boosting, Random Forests, XGBoost, K-Nearest Neighbors, and Support Vector Machines to predict consumer behavior and market trends. Results show that support vector machine outperforms the rest of the models in predicting online shopping intention of local artisan products. The findings provide insights into e-commerce strategies for sustainable economic development and cultural preservation in the Philippines.