FEU Institute of Technology

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Precious Angeline B. Carbonell

Student

BSITBA Student at FEU Institute of Technology

Cavite, Cavite · FEU Institute of Technology

8 Followers

Personal Information

Short Biography

A passionate student deeply invested in Data Analytics, adept in research, problem-solving, and driven by a commitment to influence the IT industry. Eager to channel her skills and enthusiasm, she aspires to make a meaningful impact by applying her knowledge as an aspiring Data Analyst, dedicated to crafting data-driven solutions within the field.

🛠️ Skills

Database Management

Competent (70%)

Problem-Solving

Competent (70%)

Programming

Competent (70%)

Web development

Advanced (75%)

UX/UI Design (Figma)

Competent (70%)

🎓 Educational Qualification

Tertiary · Aug 2022 - Present

Bachelor of Science in Information Technology

Business Analytics · FEU Institute of Technology

Secondary · Oct 2020 - Jul 2022

Cavite National High School - Senior High School

Secondary · Jun 2016 - Apr 2020

Cavite National High School

Primary · Jun 2010 - Mar 2016

Ladislao Diwa Elementary School

🏆 Honors and Awards

FEU Tech 1TSY2526 CCSMA Dean's Lister (Bronze)

Issued by FEU Tech Registrar's Office on January 07, 2026

View Credential

FEU Tech 3TSY2425 CCSMA Dean's Lister (Bronze)

Issued by FEU Tech Registrar's Office on July 27, 2025

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With Highest Honors

Issued by Cavite National High School - Senior High School on July 07, 2022

With High Honors

Issued by Cavite National High School - Senior High School on July 12, 2021

With High Honors

Issued by Cavite National High School on April 01, 2020

📜 Licenses and Certifications

TOPCIT Level 3 (Test Of Practical competency in ICT)

Issued by Institute of Information and Communications Technology on June 02, 2025

PMI Project Management Ready

Issued by Project Management Institute on March 24, 2025

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IT Specialist - HTML and CSS

Issued by Certiport on November 28, 2024

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CCNA: Switching, Routing, and Wireless Essentials

Issued by Cisco on August 05, 2024

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IT Specialist - Networking

Issued by Certiport on July 09, 2024

View Credential

👨🏻‍🏫 Seminars and Trainings

Participant

UI/UX iTamaraw Talks, Workshop & Competition

Awarded by FEU Institute of Technology on March 03, 2023

Participant

13th International Week of Professors

Awarded by University of Latvia on May 19, 2022

Speaker

21st International Students' Research Conference

Awarded by University of Latvia on May 19, 2022

Attendee

Internet Media and Information Literacy Training Awareness on Information Disorder

Awarded by Department of Information and Communications Technology on March 21, 2022

👥 Organizations and Memberships

FEU Tech Association of Student Technopreneurs and Innovators

Member · September 07, 2022 - July 01, 2023

FEU Tech Alliance of Information Technology Students

Member · September 07, 2022 - July 01, 2023

Research Publications

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Conference Paper · 10.1109/ACDSA67686.2026.11467563

Predicting Generation Z Green Vehicle Purchase Intention Using Machine Learning Approaches

2026 International Conference on Artificial Intelligence, Computer, Data Sciences and Applications (ACDSA), (2026), pp. 1-6

View Paper

This paper explores the prediction of Filipino consumers' purchase intention regarding electric vehicles (EVs) as a green vehicle to support sustainable transportation alternative in the Philippines. Despite the growing awareness and government initiatives, EV purchase intention and adoption studies remain limited among Generation Z as consumer group. To address this gap, the study collected data from 479 Filipino generation Z commuters in the National Capital Region (NCR), Philippines, analyzed using different machine learning techniques, namely, Decision Trees, Random Forest, Gradient Boosting, XGBoost, K-Nearest Neighbors, and Support Vector Machine. Findings suggest that Green Perceived Value (GPV) emerged as the most important factor green vehicle purchase intention. Meantime, among the machine learning techniques, XGBoost performs best with a predictive accuracy of 87%. Researhch and practical implications are discussed.

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