Shella Marie A. Mallari
StudentBSIT-BA
Manila, Metro Manila · FEU Institute of Technology
Personal Information
Short Biography
I'm Shella Marie A. Mallari, a 19-year-old second-year student taking a Bachelor's degree in Information Technology with Business Analytics at FEU Institute of Technology. Pursuing the ethics of business in the corporal and technological fields to keep on enhancing the skills that have empowered me to continue taking this field of profession. I believe that combining my passion for technology with a strong understanding of business ethics will provide me with a unique advantage in the industry. With the continuous advancements in technology, I am motivated to stay updated and adapt to new challenges, ensuring that I can contribute effectively to the ever-evolving world of information technology and business analytics.
🛠️ Skills
Organization
Competent (65%)
Technological
Competent (65%)
Graphic Design in Adobe Photoshop and Illustrator
Beginner (60%)
Web Development
Novice (20%)
Programming in C++, Java
Novice (20%)
🎓 Educational Qualification
Tertiary · Aug 2022 - Present
Bachelor or Science in Information Technology Specialized in Business Analytics
Web and Applications coding and development · FEU Institute of Technology - Manila
Secondary · Jun 2020 - Sep 2021
Our Lady of Fatima University - Lagro
Secondary · Sep 2016 - Jun 2020
Culiat High School
Preschool · Aug 2010 - Jun 2016
Culiat Elementary School
🏆 Honors and Awards
with high honor
Issued by Our Lady of Fatima University on September 21, 2021
With high honor
Issued by Culiat High School on June 25, 2019
👨🏻🏫 Seminars and Trainings
Attendee
Research Journey: Motivation to Publication
Awarded by Educational Innovation and Technology Hub on November 07, 2025
View Credential👥 Organizations and Memberships
FEU Tech Alliance of Information Technology Students - NCR
Member · September 13, 2022 - July 21, 2023
JEAP Environmental Advocates
Secretary · June 17, 2019 - June 17, 2020
Yes-O Science Org - NCR
Member · June 21, 2017 - June 21, 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.