Allysson O. Tumangday
StudentSMBA | Data Analytics
General Trias, Cavite · FEU Institute of Technology
Personal Information
Short Biography
I'm Allysson, a 22 year old 4th year student from FEU Institute of Technology. Currently pursuing a Bachelor's degree in Information Technology, specializing in Service Management and Business Analytics. Through my college years, I've developed a foundation in analytics and programming, building skills that help me understand data and problem-solving. Alongside my studies, I also enjoy exploring my creative side through graphic design, combining technical knowledge with visual creativity.
🛠️ Skills
Communication
Expert (85%)
HTML & CSS
Competent (70%)
Data Analytics
Advanced (80%)
Microsoft Office Suite
Expert (85%)
Graphic Design (Photoshop)
Competent (70%)
🎓 Educational Qualification
Tertiary · Aug 2021 - Present
Bachelor of Science in Information and Technology
Service Management and Business Analytics · FEU Institute of Technology
Secondary · Jun 2015 - Jun 2021
Mary Immaculate Parish Special School
🏆 Honors and Awards
Champion
Best Web Application
Issued by FEU Institute of Technology on December 07, 2024
Champion
Best Capstone Project
Issued by FEU Institute of Technology on December 07, 2024
2TSY2122 CCSMA Dean's Lister (Bronze)
Issued by FEU Institute of Technology on March 28, 2022
View Credential
President's Scholar
Issued by FEU Institute of Technology on August 30, 2021
With Honors
Academic Awardee
Issued by Mary Immaculate Parish Special School on June 02, 2021
Graduated with High Honors
📜 Licenses and Certifications
Information Technology Specialist in Data Analytics
Issued by Certiport on November 29, 2024
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Information Technology Specialist in Networking
Issued by Certiport on December 07, 2023
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CCNAv7: Switching, Routing, and Wireless Essentials
Issued by Cisco Networking Academy on July 17, 2023
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CCNAv7: Introduction to Networks
Issued by Cisco Networking Academy on April 16, 2023
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👨🏻🏫 Seminars and Trainings
Attendee
Research Materialized: Transforming Insights into Tangible Solutions (Usability Testing, Software Manual, and Research Publication)
Awarded by FEU Tech Information Technology Department on September 28, 2024
View Credential
Attendee
Research Materialized: Transforming Insights into Tangible Solutions (Collaborative Research and Code Documentation)
Awarded by FEU Tech Information Technology Department on September 28, 2024
View Credential👥 Organizations and Memberships
FEU Tech Alliance of Information Technology Students
Associate Director in Documentation · August 27, 2022 - August 30, 2023
Research Publications
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Conference Paper · 10.1109/hnicem64917.2024.11258685
Everyday Portal: An E-Commerce Platform for Everyday Streetwear Fashion with Customer Analysis Using Hybrid Collaborative Filtering2024 IEEE 16th International Conference on Humanoid, Nanotechnology, Information Technology, Communication and Control, Environment, and Management (HNICEM), (2024), pp. 1-6
This study presents an e-commerce platform with customer analysis using hybrid collaborative filtering, developed specifically for the EveryDay streetwear brand to enhance their online presence and improve their business operations. With the rise of online shopping and social commerce in the Philippines, the platform aims to enhance user experience by providing tailored product suggestions using hybrid collaborative filtering. It integrates features like order, payment, inventory management, and product customization, allowing users to personalize their shopping experience, while customer behavior analysis and monthly reporting help improve decision-making and operational efficiency. To guide the development of the platform, the team used the SCRUM methodology. The system's architecture emphasizes data security, user privacy, and reliability through the ISO 25010 Software Quality Model. Surveys were conducted with a total of 75 respondents to measure the system's performance based on the model's parameters. The system scored a weighted mean of 4.81 from customers, 5.00 from both staff and admin, and 4.88 from IT experts, resulting in an overall rating of “Excellent.”. This study highlights the potential of hybrid recommender systems in enhancing e-commerce platforms and driving customer engagement and sales.